An AutoML Library made with Optuna and PyTorch Lightning

Overview

logo

An AutoML Library made with Optuna and PyTorch Lightning

Maintainability Rating Reliability Rating Security Rating codecov Documentation Status DOI Slack

PyPI - Python Version PyPI version Downloads Downloads license

Installation

Recommended

pip install -U gradsflow

From source

pip install git+https://github.com/gradsflow/gradsflow@main

Highlights

What is Gradsflow?

Gradsflow is based on Optuna and PyTorch Lightning โšก๏ธ . It leverages PyTorch Lightning Flash so that you don't have to write any PyTorch or Optuna code for model building or hyperparameter tuning ๐Ÿš€

Although you might want to train a custom model and search hyperparameters, You can easily integrate any PyTorch/Lightning Flash Model with Gradsflow AutoModel โœจ

  • gradsflow.core: Core defines the building blocks of AutoML tasks.

  • gradsflow.taskauto: AutoTasks defines different ML/DL tasks which is provided by Gradsflow AutoML API.

๐Ÿ“‘ Check out notebooks examples.

๐Ÿ’ฌ Join the Slack group to chat with us.

๐Ÿค— Contribute

Contributions of any kind are welcome. Please check the Contributing Guidelines before contributing.

Code Of Conduct

We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.

Read full Contributor Covenant Code of Conduct

Acknowledgement

Gradsflow is built with help of Optuna and PyTorch Lightning ๐Ÿ’œ

Comments
  • Tensorboard callbacks

    Tensorboard callbacks

    Changes

    Fixes #123

    Type of change

    • [ ] ๐Ÿ“š Documentation Update
    • [ ] ๐Ÿงช Tests Cases
    • [ ] ๐Ÿž Bug fix (non-breaking change which fixes an issue)
    • [x] ๐Ÿ”ฌ New feature (non-breaking change which adds functionality)
    • [ ] ๐Ÿšจ Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] ๐Ÿ“ This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [ ] I have commented my code, particularly in hard-to-understand areas
    • [ ] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    • [x] Did you update CHANGELOG (docs/CHANGELOG.md) in case of a major change?

    Solves issue #123 I have added basic tensorboard callback functionality which include: logging the loss and accuracy for both training and validation. Is there any other functionality of tensorboard that I need to add @aniketmaurya

    documentation enhancement 
    opened by arvindmuralie77 10
  • (PYL-W0613) Function contains unused argument

    (PYL-W0613) Function contains unused argument

    Description

    An unused argument can lead to confusions. It should be removed. If this variable is necessary, name the variable _ or start the name with unused or _unused.

    Occurrences

    There are 5 occurrences of this issue in the repository.

    See all occurrences on DeepSource โ†’ deepsource.io/gh/gradsflow/gradsflow/issue/PYL-W0613/occurrences/

    no-issue-activity 
    opened by aniketmaurya 8
  • Add a conda installation option

    Add a conda installation option

    I believe, adding a conda installation option for gradsflow will be helpful for growth and adoption of the library. I have started the work on it already. Once the :bulb: PR gets approved and merged, you will have gradsflow on conda-forge.

    conda install -c conda-forge gradsflow
    

    :no_entry: :fire: Roadblock to conda-forge packaging

    However, there seems to be a problem: it appears that this library is somewhat tightly coupled with comet_ml (which has a proprietary license -- NOT OpenSource). If you could work on making this a weak coupling, or better yet make comet_ml optional (even for tests), that would allow us to make gradsflow available on conda-forge.

    opened by sugatoray 8
  • implement callbacks

    implement callbacks

    ๐Ÿš˜ Callback Roadmap

    • [x] #120 - @aniketmaurya #121
    • [ ] #122 - @aniketmaurya https://github.com/gradsflow/gradsflow/pull/151
    • [x] Tensorboard #123
    • [x] Comet #125
    • [x] WandB Callback #124
    • [x] CSV Logger - @aniketmaurya #116
    enhancement help wanted hacktoberfest no-issue-activity 
    opened by aniketmaurya 7
  • ๐Ÿš€ CLI

    ๐Ÿš€ CLI

    Changes

    New feature: AutoML Training with CLI

    Type of change

    • [ ] ๐Ÿ“š Documentation Update
    • [ ] ๐Ÿงช Tests Cases
    • [ ] ๐Ÿž Bug fix (non-breaking change which fixes an issue)
    • [x] ๐Ÿ”ฌ New feature (non-breaking change which adds functionality)
    • [ ] ๐Ÿšจ Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] ๐Ÿ“ This change requires a documentation update

    Checklist

    • [ ] My code follows the style guidelines of this project
    • [ ] I have performed a self-review of my own code
    • [ ] I have commented my code, particularly in hard-to-understand areas
    • [ ] I have made corresponding changes to the documentation
    • [ ] My changes generate no new warnings
    • [ ] Did you update CHANGELOG in case of a major change?
    enhancement API design no-pr-activity 
    opened by aniketmaurya 5
  • Argparse support added.

    Argparse support added.

    Feature Request

    Type of change

    • [X] ๐Ÿ”ฌ New feature (non-breaking change which adds functionality)

    Hi @aniketmaurya,

    I added the argparser property for the image_classifier.py file.

    example no-pr-activity 
    opened by kadirnar 4
  • ๐Ÿ”ฅ Support Schedulers

    ๐Ÿ”ฅ Support Schedulers

    Changes

    Fixes #88

    Type of change

    • [ ] ๐Ÿ“š Documentation Update
    • [ ] ๐Ÿงช Tests Cases
    • [ ] ๐Ÿž Bug fix (non-breaking change which fixes an issue)
    • [x] ๐Ÿ”ฌ New feature (non-breaking change which adds functionality)
    • [ ] ๐Ÿšจ Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] ๐Ÿ“ This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    • [ ] Did you update CHANGELOG in case of a major change?
    enhancement test no-pr-activity 
    opened by aniketmaurya 4
  • โ˜„๏ธ comet integration

    โ˜„๏ธ comet integration

    Changes

    Fixes #125

    Type of change

    • [ ] ๐Ÿ“š Documentation Update
    • [ ] ๐Ÿงช Tests Cases
    • [ ] ๐Ÿž Bug fix (non-breaking change which fixes an issue)
    • [x] ๐Ÿ”ฌ New feature (non-breaking change which adds functionality)
    • [ ] ๐Ÿšจ Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] ๐Ÿ“ This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    • [ ] Did you update CHANGELOG in case of a major change?
    enhancement test example API design 
    opened by aniketmaurya 4
  • Automatic Task Selection

    Automatic Task Selection

    Is your feature request related to a problem? Please describe.

    Create Tasks directly from AutoClassifier instead of explicitly calling AutoImageClassification or AutoTextSummarization

    Describe the solution you'd like

    model=AutoClassification(datamodule, data_type="image")  # expected `data_type`-> image, text, infer
    model.hp_tune()
    
    enhancement good first issue help wanted 
    opened by aniketmaurya 4
  • migrate to ray_tune

    migrate to ray_tune

    Changes

    Fixes #35

    Type of change

    • [ ] Documentation Update
    • [ ] Bug fix (non-breaking change which fixes an issue)
    • [x] New feature (non-breaking change which adds functionality)
    • [x] Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [x] This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    documentation enhancement test example API design 
    opened by aniketmaurya 4
  • Adding example notebook for AutoSummarization

    Adding example notebook for AutoSummarization

    Changes

    Fixes #5 (issue)

    Type of change

    • [x] New feature (non-breaking change which adds functionality)

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    example 
    opened by gagan3012 4
Releases(v0.0.8.post1)
  • v0.0.8.post1(May 18, 2022)

    What's Changed

    • ๐ŸŒŸ format docs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/170
    • [Snyk] Fix for 3 vulnerabilities by @snyk-bot in https://github.com/gradsflow/gradsflow/pull/171
    • Tensorboard callbacks by @arvindmuralie77 in https://github.com/gradsflow/gradsflow/pull/173
    • update docs :memo: by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/175
    • anti pattern fixes from deepsource by @skp-github in https://github.com/gradsflow/gradsflow/pull/176
    • [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in https://github.com/gradsflow/gradsflow/pull/177
    • Demo & fixes by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/180
    • Upgrade deps by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/181
    • ๐Ÿ› minor bug fixes and reformat by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/182
    • fix examples and Flash trainer by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/183
    • refactor apis by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/184
    • Fix examples by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/185

    New Contributors

    • @snyk-bot made their first contribution in https://github.com/gradsflow/gradsflow/pull/171
    • @arvindmuralie77 made their first contribution in https://github.com/gradsflow/gradsflow/pull/173
    • @skp-github made their first contribution in https://github.com/gradsflow/gradsflow/pull/176

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.8...v0.0.8.post1

    Source code(tar.gz)
    Source code(zip)
  • v0.0.8(Jan 14, 2022)

    What's Changed

    • ๐Ÿคฉ refactor core by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/136
    • cleanup APIs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/137
    • added conda installation instruction by @sugatoray in https://github.com/gradsflow/gradsflow/pull/144
    • recursively exclude tests folder and its contents by @sugatoray in https://github.com/gradsflow/gradsflow/pull/141
    • add model.save test by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/147
    • remove redundant to_item by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/152
    • refactor Tracker by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/153
    • Change methods not using its bound instance to staticmethods by @deepsource-autofix in https://github.com/gradsflow/gradsflow/pull/156
    • refactor metrics by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/159
    • add dataoader length by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/160
    • fix model checkpoint folder not found by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/162
    • Fix metrics update by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/163
    • Replace multiple == checks with in by @deepsource-autofix in https://github.com/gradsflow/gradsflow/pull/167
    • increment current_epoch after each epoch by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/169
    • Wandb Implementation by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/168

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.7...v0.0.8

    Source code(tar.gz)
    Source code(zip)
  • v0.0.8.dev1(Jan 12, 2022)

    What's Changed

    • optional pl dependency by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/133
    • minor fixes by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/134
    • ๐Ÿ“š update example by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/135
    • ๐Ÿคฉ refactor core by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/136
    • cleanup APIs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/137
    • remove dependencies by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/139
    • added conda installation instruction by @sugatoray in https://github.com/gradsflow/gradsflow/pull/144
    • recursively exclude tests folder and its contents by @sugatoray in https://github.com/gradsflow/gradsflow/pull/141
    • pin flash version to 0.5.1 by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/143
    • refactor backend by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/146
    • Remove flit by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/148
    • add model.save test by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/147
    • Update main.yml by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/149
    • remove redundant to_item by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/152
    • [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in https://github.com/gradsflow/gradsflow/pull/155
    • refactor Tracker by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/153
    • Change methods not using its bound instance to staticmethods by @deepsource-autofix in https://github.com/gradsflow/gradsflow/pull/156
    • ๐Ÿ“ fix documentation & examples by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/158
    • refactor metrics by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/159
    • add dataoader length by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/160
    • fix model checkpoint folder not found by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/162
    • Fix metrics update by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/163

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.7...v0.0.8.dev1

    Source code(tar.gz)
    Source code(zip)
  • v0.0.7.post2(Dec 11, 2021)

    What's Changed

    • optional pl dependency by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/133
    • minor fixes by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/134
    • ๐Ÿ“š update example by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/135
    • ๐Ÿคฉ refactor core by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/136
    • cleanup APIs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/137

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.7...v0.0.7.post2

    Source code(tar.gz)
    Source code(zip)
  • v0.0.7(Nov 26, 2021)

    Highlights

    • โ˜„๏ธ comet integration #129
    • add model checkpoint callback #121
    • ๐Ÿ“ add csv logger #116
    • ๐Ÿš€ add train_eval_callback #111
    • ๐Ÿช„ add Average Meter #109
    • fix device issue in metric calculation PR #106

    What's Changed

    • [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in https://github.com/gradsflow/gradsflow/pull/98
    • clean docs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/100
    • fix optimizer by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/102
    • fix device issue in metric calculation by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/106
    • โœจ refactor tuner by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/107
    • ๐Ÿ“š add example & better intro by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/108
    • ๐Ÿช„ add Average Meter by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/109
    • Fixes metrics device handling by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/110
    • ๐Ÿš€ add train_eval_callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/111
    • refactor training callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/112
    • ๐Ÿ”ฅData refactor by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/113
    • ๐Ÿš€ Bump test coverage by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/114
    • fix live display error on multiple runs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/115
    • ๐Ÿ“ add csv logger by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/116
    • โœจrefactor base model by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/118
    • โ˜˜๏ธ add codecarbon callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/119
    • add model checkpoint callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/121
    • fix loss compile by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/126
    • add requirement decorator by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/128
    • Refactor callback runner by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/130
    • โ˜„๏ธ comet integration by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/129

    New Contributors

    • @pre-commit-ci made their first contribution in https://github.com/gradsflow/gradsflow/pull/98

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.6...v0.0.7

    Source code(tar.gz)
    Source code(zip)
  • v0.0.6(Oct 4, 2021)

    0.0.6

    • ๐ŸŽ‰ Revamp Callbacks and Training #94
    • โœจ refactor data handling ๐Ÿ“ docs update. PR #91
    • integrate torchmetrics. PR #80
    • callbacks & ๐Ÿค‘ ProgressCallback. PR #76
    • ๐Ÿ”ฅ Add AutoModel Tuner. PR #74
    • refactor APIs - Simplify API & add model.compile(...). PR #73
    • ๐Ÿค— integrate HF Accelerator. PR #71
    Source code(tar.gz)
    Source code(zip)
  • v0.0.5(Sep 26, 2021)

    What is New?

    • Keras style Model Training API ๐ŸŽ‰
    • Remote Dataset Loader - create dataloader from any cloud Bucket โ˜๏ธ
    • Datagenerator for Image Classification (more to come soon...)

    ๐Ÿ“š Documentation & Examples

    To install $ pip install -U gradsflow

    Release Notes

    • ๐Ÿ”ฅ Add custom training loop with model.fit. PR #63 Done by @aniketmaurya
    • โ˜๏ธ Add ray.data - remote dataset loader. PR #61 Done by @aniketmaurya
    • ๐ŸŽ‰ Add AutoDataset - Encapsulate datamodule and dataloaders. PR #59 Done by @aniketmaurya
    • ๐ŸŒŸ Add Autotask feature. PR #54 Done by @gagan3012
    • โœจ Add AutoTrainer to support plain torch training loop and other torch frameworks. PR #53
    Source code(tar.gz)
    Source code(zip)
  • v0.0.5a0(Sep 25, 2021)

    Release Notes

    ๐Ÿ”ฅ Add custom training loop with model.fit. PR #63 Done by @aniketmaurya โ˜๏ธ Add ray.data - remote dataset loader. PR #61 Done by @aniketmaurya ๐ŸŽ‰ Add AutoDataset - Encapsulate datamodule and dataloaders. PR #59 Done by @aniketmaurya ๐ŸŒŸ Add Autotask feature. PR #54 Done by @gagan3012 โœจ Add AutoTrainer to support plain torch training loop and other torch frameworks. PR #53

    $ pip install gradsflow==0.0.5a0

    ๐Ÿ“š Get started with Documentation

    Source code(tar.gz)
    Source code(zip)
  • v0.0.4(Sep 3, 2021)

    Latest Changes

    • fix best checkpoints model loading #52
    • ๐Ÿš€ feature/fix train arguments docs #44
    • Publish Python ๐Ÿ distributions ๐Ÿ“ฆ to PyPI #42
    Source code(tar.gz)
    Source code(zip)
  • v0.0.3(Aug 30, 2021)

    0.0.3

    Latest Changes

    Get Started Now

    ๐Ÿ“š Documentation: docs.gradsflow.com

    $ pip install -U gradsflow

    Example

    from gradsflow import AutoImageClassifier
    
    from flash.core.data.utils import download_data
    from flash.image import ImageClassificationData
    
    
    data_dir = "/Users/aniket/personal/gradsflow/gradsflow/data/"
    download_data("https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip", data_dir)
    datamodule = ImageClassificationData.from_folders(
        train_folder=f"{data_dir}/hymenoptera_data/train/",
        val_folder=f"{data_dir}/hymenoptera_data/val/",
    )
    
    model = AutoImageClassifier(
        datamodule,
        max_epochs=2,
        n_trials=4,
        optimization_metric="val_accuracy",
        timeout=50,
    )
    
    print("AutoImageClassifier initialised!")
    model.hp_tune(gpu=1)
    
    Source code(tar.gz)
    Source code(zip)
  • v0.0.3a2(Aug 29, 2021)

    • migrate to ray_tune ๐ŸŒŸ. Read more here. PR #36 by @aniketmaurya.
    • render jupyter notebooks in documentation. PR #38 by @aniketmaurya.

    $ pip install -U gradsflow==0.0.3a2

    ๐Ÿ“ Read more on documentation

    Source code(tar.gz)
    Source code(zip)
  • v0.0.3a1(Aug 26, 2021)

  • v0.0.2(Aug 26, 2021)

  • v0.0.1(Aug 25, 2021)

    Release Notes

    0.0.1

    What is Gradsflow?

    Gradsflow is based on Optuna and PyTorch Lightning โšก๏ธ. It leverages PyTorch Lightning Flash so that you don't have to write any PyTorch or Optuna code for model building or hyperparameter tuning ๐Ÿš€

    Although you might want to train a custom model and search hyperparameters, You can easily integrate any PyTorch/Lightning Flash Model with Gradsflow AutoModel โœจ

    gradsflow.core: Core defines the building blocks of AutoML tasks.

    gradsflow.taskauto: AutoTasks defines different ML/DL tasks which is provided by Gradsflow AutoML API.

    Image classification example

        from flash.core.data.utils import download_data
        from flash.image import ImageClassificationData
    
        from gradsflow import AutoImageClassifier
    
        # 1. Create the DataModule
        download_data("https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip", "./data")
    
        datamodule = ImageClassificationData.from_folders(
            train_folder="data/hymenoptera_data/train/",
            val_folder="data/hymenoptera_data/val/",
        )
    
        suggested_conf = dict(
            optimizers=["adam", "sgd"],
            lr=(5e-4, 1e-3),
        )
        model = AutoImageClassifier(datamodule,
                                    suggested_conf=suggested_conf,
                                    max_epochs=10,
                                    optimization_metric="val_accuracy",
                                    timeout=300)
        model.hp_tune()
    
    
    Source code(tar.gz)
    Source code(zip)
  • v0.0.1b1(Aug 24, 2021)

  • 0.0.1a1(Aug 22, 2021)

    • Added AutoImageClassification
    • Added AutoTextClassification

    Example

    model = AutoImageClassifier(datamodule,
                                suggested_backbones=['ssl_resnet18'],
                                suggested_conf=suggested_conf,
                                max_epochs=1,
                                optimization_metric="val_accuracy",
                                timeout=30)
    
    print("AutoImageClassifier initialised!")
    model.hp_tune()
    
    Source code(tar.gz)
    Source code(zip)
Owner
GradsFlow
No Code Artificial Intelligence
GradsFlow
Numerai tournament example scripts using NN and optuna

numerai_NN_example Numerai tournament example scripts using pytorch NN, lightGBM and optuna https://numer.ai/tournament Performance of my model based

Takahiro Maeda 12 Oct 10, 2022
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

AutoML for Image Semantic Segmentation Currently this repo contains the only working open-source implementation of Auto-Deeplab which, by the way out-

AI Necromancer 299 Dec 17, 2022
Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core

Chord Recognition Demo application The demo application is written in C# with .NETCore. As of July 9, 2020, the only version available is for windows

Andres Mauricio Rondon Patiรฑo 24 Oct 22, 2022
MMRazor: a model compression toolkit for model slimming and AutoML

Documentation: https://mmrazor.readthedocs.io/ English | ็ฎ€ไฝ“ไธญๆ–‡ Introduction MMRazor is a model compression toolkit for model slimming and AutoML, which

OpenMMLab 899 Jan 2, 2023
Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch

Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch

Pytorch Lightning 1.4k Jan 1, 2023
Model search is a framework that implements AutoML algorithms for model architecture search at scale

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers speed up their exploration process for finding the right model architecture for their classification problems (i.e., DNNs with different types of layers).

Google 3.2k Dec 31, 2022
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

Clairvoyance: A Pipeline Toolkit for Medical Time Series Authors: van der Schaar Lab This repository contains implementations of Clairvoyance: A Pipel

van_der_Schaar \LAB 89 Dec 7, 2022
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, and soon Pytorch Image Models. It orchestrates the end-to-end deep learning workflow allowing to train networks with easy-to-use robust high-performance libraries such as Pytorch-Lightning and Fastai

airctic 789 Dec 29, 2022
Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.

NN Template Generic template to bootstrap your PyTorch project. Click on Use this Template and avoid writing boilerplate code for: PyTorch Lightning,

Luca Moschella 520 Dec 30, 2022
An essential implementation of BYOL in PyTorch + PyTorch Lightning

Essential BYOL A simple and complete implementation of Bootstrap your own latent: A new approach to self-supervised Learning in PyTorch + PyTorch Ligh

Enrico Fini 48 Sep 27, 2022
A general framework for deep learning experiments under PyTorch based on pytorch-lightning

torchx Torchx is a general framework for deep learning experiments under PyTorch based on pytorch-lightning. TODO list gan-like training wrapper text

Yingtian Liu 6 Mar 17, 2022
A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

Tom 50 Dec 16, 2022
A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

A small demonstration of using WebDataset with ImageNet and PyTorch Lightning This is a small repo illustrating how to use WebDataset on ImageNet. usi

null 50 Dec 16, 2022
Spiking Neural Network for Computer Vision using SpikingJelly framework and Pytorch-Lightning

Spiking Neural Network for Computer Vision using SpikingJelly framework and Pytorch-Lightning

Sami BARCHID 2 Oct 20, 2022
Pytorch Lightning code guideline for conferences

Deep learning project seed Use this seed to start new deep learning / ML projects. Built in setup.py Built in requirements Examples with MNIST Badges

Pytorch Lightning 1k Jan 2, 2023
Pytorch Lightning Distributed Accelerators using Ray

Distributed PyTorch Lightning Training on Ray This library adds new PyTorch Lightning accelerators for distributed training using the Ray distributed

null 166 Dec 27, 2022
Pytorch Lightning Distributed Accelerators using Ray

Distributed PyTorch Lightning Training on Ray This library adds new PyTorch Lightning plugins for distributed training using the Ray distributed compu

null 167 Jan 2, 2023
PyTorch Lightning implementation of Automatic Speech Recognition

lasr Lightening Automatic Speech Recognition An MIT License ASR research library, built on PyTorch-Lightning, for developing end-to-end ASR models. In

Soohwan Kim 40 Sep 19, 2022