7246 Repositories
Python data-efficient-learning Libraries
The Python-Weather-App is a service that provides weather data
The Python-Weather-App is a service that provides weather data, including current weather data to the developers of web services and mobile applications.
Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
Unsupervised JPEG Domain Adaptation for Practical Digital Image Forensics @WIFS2021 (Montpellier, France) Rony Abecidan, Vincent Itier, Jeremie Boulan
[TNNLS 2021] The official code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement"
CSDNet-CSDGAN this is the code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement" Environment Preparing pyt
A PyTorch implementation of deep-learning-based registration
DiffuseMorph Implementation A PyTorch implementation of deep-learning-based registration. Requirements OS : Ubuntu / Windows Python 3.6 PyTorch 1.4.0
Code for the paper "Learning-Augmented Algorithms for Online Steiner Tree"
Learning-Augmented Algorithms for Online Steiner Tree This is the code for the paper "Learning-Augmented Algorithms for Online Steiner Tree". Requirem
Code basis for the paper "Camera Condition Monitoring and Readjustment by means of Noise and Blur" (2021)
Camera Condition Monitoring and Readjustment by means of Noise and Blur This repository contains the source code of the paper: Wischow, M., Gallego, G
Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022)
Blockwise Sequential Model Learning Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022) For ins
How the Deep Q-learning method works and discuss the new ideas that makes the algorithm work
Deep Q-Learning Recommend papers The first step is to read and understand the method that you will implement. It was first introduced in a 2013 paper
Big data on k8s
# microsoft azure # https://docs.microsoft.com/en-us/cli/azure/install-azure-cli az account set --subscription [] az aks get-credentials --resource-g
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
Easy-ERA5-Trck Easy-ERA5-Trck Galleries Install Usage Repository Structure Module Files Version iteration Easy-ERA5-Trck is a super lightweight Lagran
A PyTorch library and evaluation platform for end-to-end compression research
CompressAI CompressAI (compress-ay) is a PyTorch library and evaluation platform for end-to-end compression research. CompressAI currently provides: c
Jiminy, fast and portable Python/C++ simulator of poly-articulated systems with OpenAI Gym interface for reinforcement learning.
Jiminy is a fast and portable cross-platform open-source simulator for poly-articulated systems. It was built with two ideas in mind: provide a fast y
The geospatial toolkit for redistricting data.
maup maup is the geospatial toolkit for redistricting data. The package streamlines the basic workflows that arise when working with blocks, precincts
Delta Sharing: An Open Protocol for Secure Data Sharing
Delta Sharing: An Open Protocol for Secure Data Sharing Delta Sharing is an open protocol for secure real-time exchange of large datasets, which enabl
PyIOmica (pyiomica) is a Python package for omics analyses.
PyIOmica (pyiomica) This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets.
A part of HyRiver software stack for accessing hydrology data through web services
Package Description Status PyNHD Navigate and subset NHDPlus (MR and HR) using web services Py3DEP Access topographic data through National Map's 3DEP
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
A 3D Slicer Extension to view data from the flywheel heirarchy
flywheel-connect A 3D Slicer Extension to view, select, and download images from a Flywheel instance to 3D Slicer and storing Slicer outputs back to F
Streaming parser for multipart/form-data written in Python
Streaming multipart/form-data parser streaming_form_data provides a Python parser for parsing multipart/form-data input chunks (the encoding used when
A python module for retrieving and parsing WHOIS data
pythonwhois A WHOIS retrieval and parsing library for Python. Dependencies None! All you need is the Python standard library. Instructions The manual
Libextract: extract data from websites
Libextract is a statistics-enabled data extraction library that works on HTML and XML documents and written in Python
Persistent/Immutable/Functional data structures for Python
Pyrsistent Pyrsistent is a number of persistent collections (by some referred to as functional data structures). Persistent in the sense that they are
Persistent dict, backed by sqlite3 and pickle, multithread-safe.
sqlitedict -- persistent dict, backed-up by SQLite and pickle A lightweight wrapper around Python's sqlite3 database with a simple, Pythonic dict-like
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 tree data library
Links Documentation PyPI GitHub Changelog Issues Contributors If you enjoy anytree Getting started Usage is simple. Construction from anytree impo
A JSON-friendly data structure which allows both object attributes and dictionary keys and values to be used simultaneously and interchangeably.
A JSON-friendly data structure which allows both object attributes and dictionary keys and values to be used simultaneously and interchangeably.
This is an implementation of PEP 557, Data Classes.
This is an implementation of PEP 557, Data Classes. It is a backport for Python 3.6. Because dataclasses will be included in Python 3.7, any discussio
D2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
Facebook AI Image Similarity Challenge: Matching Track āā Team: imgFp This is the source code of our 3rd place solution to matching track of Image Sim
Microsoft Azure provides a wide number of services for managing and storing data
Microsoft Azure provides a wide number of services for managing and storing data. One product is Microsoft Azure SQL. Which gives us the capability to create and manage instances of SQL Servers hosted in the cloud. This project, demonstrates how to use these services to manage data we collect from different sources.
Upload an Excel/CSV file ( 200 MB) and produce a short summary of the data.
Data-Analysis-Report Deployed App 1. What is this app? Upload an excel/csv file and produce a summary report of the data. 2. Where to upload? How to p
Computer Vision Script to recognize first person motion, developed as final project for the course "Machine Learning and Deep Learning"
Overview of The Code BaseColab/MLDL_FPAR.pdf: it contains the full explanation of our work Base Colab: it contains the base colab used to perform all
1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task
KIDA: Knowledge Inheritance in Data Aggregation This project releases our 1st place solution on NeurIPS2021 ML4CO Dual Task. Slide and model weights a
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.
PyTorch implementation of Video Transformer Benchmarks This repository is mainly built upon Pytorch and Pytorch-Lightning. We wish to maintain a colle
A `Neural = Symbolic` framework for sound and complete weighted real-value logic
Logical Neural Networks LNNs are a novel Neuro = symbolic framework designed to seamlessly provide key properties of both neural nets (learning) and s
Official implementation of the AAAI 2022 paper "Learning Token-based Representation for Image Retrieval"
Token: Token-based Representation for Image Retrieval PyTorch training code for Token-based Representation for Image Retrieval. We propose a joint loc
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.
Search for files under the specified directory. Extract the file name and file path and import them as data.
Search for files under the specified directory. Extract the file name and file path and import them as data. Based on that, search for the file, select it and open it.
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.
pandas-gbq is a package providing an interface to the Google BigQuery API from pandas
pandas-gbq pandas-gbq is a package providing an interface to the Google BigQuery API from pandas Installation Install latest release version via conda
Utils for streaming large files (S3, HDFS, gzip, bz2...)
smart_open ā utils for streaming large files in Python What? smart_open is a Python 3 library for efficient streaming of very large files from/to stor
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
Extract data from a wide range of Internet sources into a pandas DataFrame.
pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d
Singer is an open source standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.
Singer is an open source standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of. Th
Synthetic Data Generation for tabular, relational and time series data.
An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github
Flexible HDF5 saving/loading and other data science tools from the University of Chicago
deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt
Python library for reading and writing tabular data via streams.
tabulator-py A library for reading and writing tabular data (csv/xls/json/etc). [Important Notice] We have released Frictionless Framework. This frame
A common, beautiful interface to tabular data, no matter the format
rows No matter in which format your tabular data is: rows will import it, automatically detect types and give you high-level Python objects so you can
Tools for test driven data-wrangling and data validation.
datatest: Test driven data-wrangling and data validation Datatest helps to speed up and formalize data-wrangling and data validation tasks. It impleme
Tools for parsing messy tabular data.
Parsing for messy tables A library for dealing with messy tabular data in several formats, guessing types and detecting headers. See the documentation
A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl
pyexcel-xlsx - Let you focus on data, instead of xlsx format pyexcel-xlsx is a tiny wrapper library to read, manipulate and write data in xlsx and xls
Excalibur: A web interface to extract tabular data from PDFs
Excalibur: A web interface to extract tabular data from PDFs Excalibur is a web interface to extract tabular data from PDFs, written in Python 3! It i
Deep Difference and search of any Python object/data.
DeepDiff v 5.6.0 DeepDiff Overview DeepDiff: Deep Difference of dictionaries, iterables, strings and other objects. It will recursively look for all t
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
Analyze, visualize and process sound field data recorded by spherical microphone arrays.
Sound Field Analysis toolbox for Python The sound_field_analysis toolbox (short: sfa) is a Python port of the Sound Field Analysis Toolbox (SOFiA) too
`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.
charts.css.py charts.css.py provides a python API to convert your 2-dimension data lists into html snippet, which will be rendered into charts by CSS,
A dashboard built using Plotly-Dash for interactive visualization of Dex-connected individuals across the country.
Dashboard For The DexConnect Platform of Dexterity Global Working prototype submission for internship at Dexterity Global Group. Dashboard for real ti
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging
Larch: Data Analysis Tools for X-ray Spectroscopy and More Documentation: http://xraypy.github.io/xraylarch Code: http://github.com/xraypy/xraylarch L
A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece.
COVID-19-Greece A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece. Data sources Data provided by Johns Hopki
Self-Supervised Image Denoising via Iterative Data Refinement
Self-Supervised Image Denoising via Iterative Data Refinement Yi Zhang1, Dasong Li1, Ka Lung Law2, Xiaogang Wang1, Hongwei Qin2, Hongsheng Li1 1CUHK-S
Official code of IterMVS
IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear
An efficient toolkit for Face Stylization based on the paper "AgileGAN: Stylizing Portraits by Inversion-Consistent Transfer Learning"
MMGEN-FaceStylor English | ē®ä½äøę Introduction This repo is an efficient toolkit for Face Stylization based on the paper "AgileGAN: Stylizing Portraits
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
EfficientZero (NeurIPS 2021) Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021. Environments Effi
Code for ShadeGAN (NeurIPS2021) A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis Project Page | Paper A Shading-Guided Generative Implicit Model
Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)
On the Generative Utility of Cyclic Conditionals This repository is the official implementation of "On the Generative Utility of Cyclic Conditionals"
Autoregressive Models in PyTorch.
Autoregressive This repository contains all the necessary PyTorch code, tailored to my presentation, to train and generate data from WaveNet-like auto
Python3 library that can retrieve Chrome-based browser's saved login info.
Passax EDUCATIONAL PURPOSES ONLY Python3 library that can retrieve Chrome-based browser's saved login info. Requirements secretstorage~=3.3.1 pywin32=
Python script that extract data via YouTube Api and manipulates it.
UNLIMITED README for the Unlimited game [Mining game] Explore the docs Ā» View Demo Ā· Report Bug Ā· Request Feature Table of Contents About The Project
This script has been created in order to find what are the most common demanded technologies in Data Engineering field.
This is a Python script that given a whole corpus of job descriptions and a file with keywords it extracts the number of number of ocurrences of these keywords and write it to a file. This script it is easy to extend to accept more functionalities
Learning a Little about Containerlab
Learning a Little about Containerlab Hello all. This is the respository based on this blog post. Getting Started Feel free to use this example. You wi
Create 3d loss surface visualizations, with optimizer path. Issues welcome!
MLVTK A loss surface visualization tool Simple feed-forward network trained on chess data, using elu activation and Adam optimizer Simple feed-forward
Kodi script for proper Australian weather data
Kodi Oz Weather weather.ozweather Script for Kodi for high quality Australian weather data sourced directly from the BOM. Available from the Kodi offi
A Python package for Misty II development
Misty2py Misty2py is a Python 3 package for Misty II development using Misty's REST API. Read the full documentation here! Installation Poetry To inst
Final term project for Bayesian Machine Learning Lecture (XAI-623)
Mixquality_AL Final Term Project For Bayesian Machine Learning Lecture (XAI-623) Youtube Link The presentation is given in YoutubeLink Problem Formula
Code for the AAAI-2022 paper: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification (AAAI 2022) Prerequisite PyTorch = 1.2.0 P
a practicable framework used in Deep Learning. So far UDL only provide DCFNet implementation for the ICCV paper (Dynamic Cross Feature Fusion for Remote Sensing Pansharpening)
UDL UDL is a practicable framework used in Deep Learning (computer vision). Benchmark codes, results and models are available in UDL, please contact @
BT-Unet: A-Self-supervised-learning-framework-for-biomedical-image-segmentation-using-Barlow-Twins
BT-Unet: A-Self-supervised-learning-framework-for-biomedical-image-segmentation-using-Barlow-Twins Deep learning has brought most profound contributio
Official Implementation for the paper DeepFace-EMD: Re-ranking Using Patch-wise Earth Moverās Distance Improves Out-Of-Distribution Face Identification
DeepFace-EMD: Re-ranking Using Patch-wise Earth Moverās Distance Improves Out-Of-Distribution Face Identification Official Implementation for the pape
Official Code for "Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning"
CMSF Official Code for "Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning" Requirements Python = 3.7.6 PyTorch
Enhancing Column Generation by a Machine-Learning-BasedPricing Heuristic for Graph Coloring
Enhancing Column Generation by a Machine-Learning-BasedPricing Heuristic for Graph Coloring (to appear at AAAI 2022) We propose a machine-learning-bas
Machine learning Bot detection technique, based on United States election dataset
Machine learning Bot detection technique, based on United States election dataset (2020). Current github repo provides implementation described in pap
Continual learning with sketched Jacobian approximations
Continual learning with sketched Jacobian approximations This repository contains the code for reproducing figures and results in the paper ``Provable
Code for the paper āThe Peril of Popular Deep Learning Uncertainty Estimation Methodsā
Uncertainty Estimation Methods Code for the paper āThe Peril of Popular Deep Learning Uncertainty Estimation Methodsā Reference If you use this code,
Research Artifact of USENIX Security 2022 Paper: Automated Side Channel Analysis of Media Software with Manifold Learning
Automated Side Channel Analysis of Media Software with Manifold Learning Official implementation of USENIX Security 2022 paper: Automated Side Channel
Learning multiple gaits of quadruped robot using hierarchical reinforcement learning
Learning multiple gaits of quadruped robot using hierarchical reinforcement learning We propose a method to learn multiple gaits of quadruped robot us
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion
Machine Learning for Argument-Based Computational Persuasion This repo contains the source code and a benchmark for predicting user's utilities with M
Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks. VMAgent is constructed based on one month r
Official implementation of "A Shared Representation for Photorealistic Driving Simulators" in PyTorch.
A Shared Representation for Photorealistic Driving Simulators The official code for the paper: "A Shared Representation for Photorealistic Driving Sim
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
This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"
RUAS This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision" A prelimin
Evaluating saliency methods on artificial data with different background types
Evaluating saliency methods on artificial data with different background types This repository contains the relevant code for the MedNeurips 2021 subm
Official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'
IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear
ScisorWiz: Differential Isoform Visualizer for Long-Read RNA Sequencing Data
ScisorWiz: Vizualizer for Differential Isoform Expression README ScisorWiz is a linux-based R-package for visualizing differential isoform expression
Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.
Deep Learning Dataset Maker Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data. How to use Down
The test data, code and detailed description of the AW t-SNE algorithm
AW-t-SNE The test data, code and result of the AW t-SNE algorithm Structure of the folder Datasets: This folder contains two datasets, the MNIST datas
Machine Learning algorithms implementation.
Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe
Validation and inference over LinkML instance data using souffle
Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data
An ETL framework + Monitoring UI/API (experimental project for learning purposes)
Fastlane An ETL framework for building pipelines, and Flask based web API/UI for monitoring pipelines. Project structure fastlane |- fastlane: (ETL fr
Visual Adversarial Imitation Learning using Variational Models (VMAIL)
Visual Adversarial Imitation Learning using Variational Models (VMAIL) This is the official implementation of the NeurIPS 2021 paper. Project website