1352 Repositories
Python training-set-generator Libraries
A full pipeline AutoML tool for tabular data
HyperGBM Doc | 中文 We Are Hiring! Dear folks,we are offering challenging opportunities located in Beijing for both professionals and students who are k
Training PyTorch models with differential privacy
Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the cli
Maze generator with most popular shapes - hexagon, triangle, square
Maze-Generator Maze generator with most popular shapes - hexagon, triangle, square (sqaure not implemented yet): Theory: Planar Graph https://en.wikip
barely is a lightweight, but highly extensible static site generator written in pure python.
barely is a lightweight, but highly extensible static site generator. Explore the docs » Quickstart · See available Plugins · Report Bug · Request Fea
Codes for building and training the neural network model described in Domain-informed neural networks for interaction localization within astroparticle experiments.
Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021))
PTvsBT On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021) Citation Please cite a
Ensembling Off-the-shelf Models for GAN Training
Vision-aided GAN video (3m) | website | paper Can the collective knowledge from a large bank of pretrained vision models be leveraged to improve GAN t
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems - NAACL 2021
Fine-grained Post-training for Multi-turn Response Selection Implements the model described in the following paper Fine-grained Post-training for Impr
Training and Evaluation Code for Neural Volumes
Neural Volumes This repository contains training and evaluation code for the paper Neural Volumes. The method learns a 3D volumetric representation of
Ensembling Off-the-shelf Models for GAN Training
Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br
A secure password generator written in python
gruvbox-factory 🏭 "The main focus when developing gruvbox is to keep colors easily distinguishable, contrast enough and still pleasant for the eyes"
Django CRUD REST API Generator
Django CRUD REST API Generator This is a simple tool that generates a Django REST API with the given models. Specs: Authentication, DRF generic views,
A set of Python scripts for finding threats in Office365
Py365 A collection of scripts for finding threats in Office365 Risky Rules A tool for finding risky or suspicious inbox rules - more detail in this po
An extensive password manager built using Python, multiple implementations. Something to meet everyone's taste.
An awesome open-sourced password manager! Explore the docs » View Demo · Report Bug · Request Feature 🐍 Python Password Manager 🔐 An extensive passw
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
SEW (Squeezed and Efficient Wav2vec) The repo contains the code of the paper "Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speec
Transformer training code for sequential tasks
Sequential Transformer This is a code for training Transformers on sequential tasks such as language modeling. Unlike the original Transformer archite
Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models
PEGASUS library Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models, or PEGASUS, uses self-supervised
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Hiring We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on NLP and large-scale pre-traine
Unsupervised Language Model Pre-training for French
FlauBERT and FLUE FlauBERT is a French BERT trained on a very large and heterogeneous French corpus. Models of different sizes are trained using the n
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Dense Passage Retrieval Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the
Code for EMNLP20 paper: "ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training"
ProphetNet-X This repo provides the code for reproducing the experiments in ProphetNet. In the paper, we propose a new pre-trained language model call
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using
A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》
RangeLoss Pytorch This is a Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Trai
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Notice: Support for Python 3.6 will be dropped in v.0.2.1, please plan accordingly! Efficient and Scalable Physics-Informed Deep Learning Collocation-
Using CNN to mimic the driver based on training data from Torcs
Behavioural-Cloning-in-autonomous-driving Using CNN to mimic the driver based on training data from Torcs. Approach First, the data was collected from
A simple python application for generating a WiFi QR code for ease of connection
A simple python application for generating a WiFi QR code Initialize the class by providing QR code values WiFi_QR_Code(self, error_correction: int =
Log4j command generator: Generate commands for CVE-2021-44228
Log4j command generator Generate commands for CVE-2021-44228. Description The vulnerability exists due to the Log4j processor's handling of log messag
An algorithm study of the 6th iOS 10 set of Boost Camp Web Mobile
알고리즘 스터디 🔥 부스트캠프 웹모바일 6기 iOS 10조의 알고리즘 스터디 입니다. 개인적인 사정 등으로 S034, S055만 참가하였습니다. 스터디 목적 상진: 코테 합격 + 부캠끝나고 아침에 일어나기 위해 필요한 사이클 기완: 꾸준하게 자리에 앉아 공부하기 +
A simple program for training and testing vit
Vit This is a simple program for training and testing vit. Key requirements: torch, torchvision and timm. Dataset I put 5 categories of the cub classi
PantheonRL is a package for training and testing multi-agent reinforcement learning environments.
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
HETU Documentation | Examples Hetu is a high-performance distributed deep learning system targeting trillions of parameters DL model training, develop
Stubs with type annotations for ordered-set Python library
ordered-set-stubs - stubs with type annotations for ordered-set Python library Archived - now type annotations are the part of the ordered-set library
A mutable set that remembers the order of its entries. One of Python's missing data types.
An OrderedSet is a mutable data structure that is a hybrid of a list and a set. It remembers the order of its entries, and every entry has an index number that can be looked up.
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
OpenAPI Generator Master (5.3.1): 5.4.x (5.4.x): 6.0.x (6.0.x): ⭐ ⭐ ⭐ If you would like to contribute, please refer to guidelines and a list of open t
A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)..
apispec A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification). Features Supports th
📘 OpenAPI/Swagger-generated API Reference Documentation
Generate interactive API documentation from OpenAPI definitions This is the README for the 2.x version of Redoc (React-based). The README for the 1.x
Beautiful static documentation generator for OpenAPI/Swagger 2.0
Spectacle The gentleman at REST Spectacle generates beautiful static HTML5 documentation from OpenAPI/Swagger 2.0 API specifications. The goal of Spec
Python client for the Datadog API
datadog-api-client-python This repository contains a Python API client for the Datadog API. The code is generated using openapi-generator and apigento
Exports osu! user stats to prometheus metrics for a specified set of users
osu! to prometheus exporter This tool exports osu! user statistics into prometheus metrics for a specified set of user ids. Just copy the config.json.
A python interface for training Reinforcement Learning bots to battle on pokemon showdown
The pokemon showdown Python environment A Python interface to create battling pokemon agents. poke-env offers an easy-to-use interface for creating ru
PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
PyGAD: Genetic Algorithm in Python PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine lear
Markdown documentation generator from Google docstrings
mkgendocs A Python package for automatically generating documentation pages in markdown for Python source files by parsing Google style docstring. The
OpenAPI (f.k.a Swagger) Specification code generator. Supports C#, PowerShell, Go, Java, Node.js, TypeScript, Python
AutoRest The AutoRest tool generates client libraries for accessing RESTful web services. Input to AutoRest is a spec that describes the REST API usin
Pydantic model generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
datamodel-code-generator This code generator creates pydantic model from an openapi file and others. Help See documentation for more details. Supporte
Generate modern Python clients from OpenAPI
openapi-python-client Generate modern Python clients from OpenAPI 3.x documents. This generator does not support OpenAPI 2.x FKA Swagger. If you need
Archive of the image generator stuff from my API
alex_api_archive Archive of the image generator stuff from my API FAQ Q: Why? A: Because I am removing these components from the API Q: How do I run i
Automatically Send Custom Named Certificates via Mail
Welcome to Certificate Launchpad 🚀 Automatically Send Custom Named Certificates via Email Intro After any event, sending certificates to attendees or
A Python program that generates a maze that solves itself using DFS
Maze Generator And Solver Program Purpose: Generates a maze that then solves itself Language: Python and Pygame Algorithm: Randomized DFS / Floodfill
Random dataframe and database table generator
Random database/dataframe generator Authored and maintained by Dr. Tirthajyoti Sarkar, Fremont, USA Introduction Often, beginners in SQL or data scien
Tinkerer is a blogging engine/static website generator powered by Sphinx.
Tinkerer What is Tinkerer? Tinkerer is a blogging engine/static website generator powered by Sphinx. It allows blogging in reStructuredText format, co
A mutable set that remembers the order of its entries. One of Python's missing data types.
An OrderedSet is a mutable data structure that is a hybrid of a list and a set. It remembers the order of its entries, and every entry has an index nu
Python-dotenv reads key-value pairs from a .env file and can set them as environment variables.
python-dotenv Python-dotenv reads key-value pairs from a .env file and can set them as environment variables. It helps in the development of applicati
Random Name and Slug Generator
Random Name and Slug Generator
A Python Library to Make Quote Images
Quote2Image A Python Library to Make Quote Images How To Use? Download The Latest Package From Releases Extract The Zip File And Place Every File In I
♟️ QR Code display for P4wnP1 (SSH, VNC, any text / URL)
♟️ Display QR Codes on P4wnP1 (p4wnsolo-qr) 🟢 QR Code display for P4wnP1 w/OLED (SSH, VNC, P4wnP1 WebGUI, any text / URL / exfiltrated data) Note: Th
🌲 A simple BST (Binary Search Tree) generator written in python
Tree-Traversals (BST) 🌲 A simple BST (Binary Search Tree) generator written in python Installation Use the package manager pip to install BST. Usage
Comprehensive OpenAPI schema generator for Django based on pydantic
🗡️ Djagger Automated OpenAPI documentation generator for Django. Djagger helps you generate a complete and comprehensive API documentation of your Dj
The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".
Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* Any questions or discussions ar
Atari2600 Training / Evaluation with RLlib
Training Atari2600 by Reinforcement Learning Train Atari2600 and check how it works! How to Setup You can setup packages on your local env. $ make set
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required.
A system for quickly generating training data with weak supervision
Programmatically Build and Manage Training Data Announcement The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI applicat
Python supercharged for the fastai library
Welcome to fastcore Python goodies to make your coding faster, easier, and more maintainable Python is a powerful, dynamic language. Rather than bake
The Pytorch implementation for "Video-Text Pre-training with Learned Regions"
Region_Learner The Pytorch implementation for "Video-Text Pre-training with Learned Regions" (arxiv) We are still cleaning up the code further and pre
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Maximum Likelihood Training of Score-Based Diffusion Models This repo contains the official implementation for the paper Maximum Likelihood Training o
Digdata presented 'BrandX' as a clothing brand that wants to know the best places to set up a 'pop up' store.
Digdata presented 'BrandX' as a clothing brand that wants to know the best places to set up a 'pop up' store. I used the dataset given to write a program that ranks these places.
Analytics snippets generator extension for the Flask framework.
Flask-Analytics Flask Analytics is an extension for Flask which generates analytics snippets for inclusion in templates. Installation $ pip install Fl
Small and simple gravatar usage in Flask.
Flask Gravatar About This is small and simple integration gravatar into flask. Installation Flask-Gravatar is on PyPI so all you need is: pip install
Best badge generator API to count visitors of your Repository / Account 🥇
github visitors badge A badge generator service to count visitors of your markdown file. Hello every one! In this post, I will tell you the story of m
rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle.
rastrainer rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle. UI TODO Init UI. Add Block. Add l
Unimodal Face Classification with Multimodal Training
Unimodal Face Classification with Multimodal Training This is a PyTorch implementation of the following paper: Unimodal Face Classification with Multi
In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy
PixMix Introduction In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard te
Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Official Implementation of SimIPU SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Since
An ongoing curated list of OS X best applications, libraries, frameworks and tools to help developers set up their macOS Laptop.
macOS Development Setup Welcome to MacOS Local Development & Setup. An ongoing curated list of OS X best applications, libraries, frameworks and tools
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
VarCLR: Variable Representation Pre-training via Contrastive Learning New: Paper accepted by ICSE 2022. Preprint at arXiv! This repository contain
iBOT: Image BERT Pre-Training with Online Tokenizer
Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.
Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》
Unequal-Training-for-Deep-Face-Recognition-with-Long-Tailed-Noisy-Data. This is the code of CVPR 2019 paper《Unequal Training for Deep Face Recognition
Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.
Conceptual 12M We introduce the Conceptual 12M (CC12M), a dataset with ~12 million image-text pairs meant to be used for vision-and-language pre-train
Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
CReST in Tensorflow 2 Code for the paper: "CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning" by Chen Wei, Ki
Uni-Fold: Training your own deep protein-folding models.
Uni-Fold: Training your own deep protein-folding models. This package provides and implementation of a trainable, Transformer-based deep protein foldi
Torchrecipes provides a set of reproduci-able, re-usable, ready-to-run RECIPES for training different types of models, across multiple domains, on PyTorch Lightning.
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.
Version three of the Accounting Project. You can now connect multiple computers together who are on the same IP (I'm sure I could set it up so it would work on different IP's) and add to a distributed ledger verified by blockchain.
Accounting_Cycle_V3 As I talked about in the second iteration of the accoutning project, I was going to add networking capabilities to the project. Re
iBOT: Image BERT Pre-Training with Online Tokenizer
Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification This is the official pytorch implementation of t
An end to end ASR Transformer model training repo
END TO END ASR TRANSFORMER 本项目基于transformer 6*encoder+6*decoder的基本结构构造的端到端的语音识别系统 Model Instructions 1.数据准备: 自行下载数据,遵循文件结构如下: ├── data │ ├── train │
Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective
Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective Installin
Training code for Korean multi-class sentiment analysis
KoSentimentAnalysis Bert implementation for the Korean multi-class sentiment analysis 왜 한국어 감정 다중분류 모델은 거의 없는 것일까?에서 시작된 프로젝트 Environment: Pytorch, Da
This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization
CRGNN Paper : Improving the Training of Graph Neural Networks with Consistency Regularization Environments Implementing environment: GeForce RTX™ 3090
GLIP: Grounded Language-Image Pre-training
GLIP: Grounded Language-Image Pre-training Updates 12/06/2021: GLIP paper on arxiv https://arxiv.org/abs/2112.03857. Code and Model are under internal
The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".
Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* This code is based on MMdetecti
This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization
CRGNN Paper : Improving the Training of Graph Neural Networks with Consistency Regularization Environments Implementing environment: GeForce RTX™ 3090
Post-Training Quantization for Vision transformers.
PTQ4ViT Post-Training Quantization Framework for Vision Transformers. We use the twin uniform quantization method to reduce the quantization error on
Basit bir cc generator'ü.
Basit bir cc generator'ü. Setup What To Do; Python Installation We install python from CLICK Generator Board After installing the file and python, we
A blazing fast mass certificate generator script for the community ⚡
A simple mass certificate generator script for the community ⚡ Source Code · Docs · Raw Script Docs All you need Certificate Design a simple template
Uni-Fold: Training your own deep protein-folding models
Uni-Fold: Training your own deep protein-folding models. This package provides an implementation of a trainable, Transformer-based deep protein foldin
Генератор отчетов на Python с использованием библиотеки docx для работы с word-файлами и запросов к сервису
Генератор отчетов на Python с использованием библиотеки docx для работы с word-файлами и запросов к сервису
A set of utility functions for working with GeoJSON annotations in Kaibu
kaibu-utils A set of utility functions for working with Kaibu. Create a new repository Create a new repository and select imjoy-team/imjoy-python-temp
The easiest tool for extracting radiomics features and training ML models on them.
Simple pipeline for experimenting with radiomics features Installation git clone https://github.com/piotrekwoznicki/ClassyRadiomics.git cd classrad pi
Neural Caption Generator with Attention
Neural Caption Generator with Attention Tensorflow implementation of "Show
Random collage/montage generator with drop-shadow
Random Collage Example Usage These are the sample input files in $PWD for the below examples: 1.png 2.png 3.png 4.png 5.png 6.png 7.png 8.png 9.png 10
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
Training Structured Neural Networks Through Manifold Identification and Variance Reduction This repository is a pytorch implementation of the Regulari