Python

A curated list of awesome Python frameworks, libraries, software getting started tutorial

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simonharrer LaTeX Best Practices
 

genforce Given an image pair, TrGAN is able to project them onto the learned transformation space and further extract the semantic variation between them to transform new images.
 

compatibl Examples and code for the Practical Machine Learning workshop series
 

connext Cross-chain EVM-based token data.
 

Tete-Xiao PyTorch Implementation of Region Similarity Representation Learning (ReSim)
 

raphaelvallat AntroPy is a Python 3 package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to extract features from EEG signals.
 

Hangz-nju-cuhk Code for Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (CVPR 2021)
 

BradyFU DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition, TPAMI 2021
 

robustness-gym SummVis is an interactive visualization tool for text summarization systems, supporting analysis of models, data, and evaluation metrics.
 

uclanlp Papers on fairness in NLP
 

PyTorchLightning Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
 
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Pytlicek Simple XLSX and CSV to dictionary converter
 

Quansight pytest-pytorch is a lightweight pytest-plugin that enhances the developer experience when working with the PyTorch test suite if you come from a pytest background.
 

NetEase-FuXi EET(Easy and Efficient Transformer) is an efficient Pytorch inference plugin focus on Transformer-based models with large model sizes and long sequences.
 

LINCellularNeuroscience VAME is a framework to cluster behavioral signals obtained from pose-estimation tools. It is a PyTorch based deep learning framework which leverages the power of recurrent neural networks (RNN) to model sequential data. In order t
 

capitalone Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
 

capitalone Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities and more. Data Profiles can then be used in downstre
 

nikitakit Sabertooth is standalone pre-training recipe based on JAX+Flax, with data pipelines implemented in Rust. It runs on CPU, GPU, and/or TPU, but this README targets TPU usage.
 

stanleybak Python Version of F-16 Maneuver Verification Benchmark
 

LatticeX-Foundation Rosetta is a privacy-preserving framework based on TensorFlow. It integrates with mainstream privacy-preserving computation technologies, including cryptography, federated learning and trusted execution environment.
 

lonePatient A PyTorch-based toolkit for natural language processing
 

RaptorMai A collection of online continual learning paper implementations for computer vision in PyTorch.
 

tuhinjubcse Creative NLG and Computational Creativity is becoming popular more so with the advent of Language Models. We hope to provide a list of great papers that can serve as a reference for researchers interested in such topics. This repo
 

edwardzhou130 Panoptic-PolarNet is a fast and robust LiDAR point cloud panoptic segmentation framework. We learn both semantic segmentation and class-agnostic instance clustering in a single inference network using a polar Bird's Eye View (BEV)
 

princeton-nlp This repository contains the code and pre-trained models for our paper SimCSE: Simple Contrastive Learning of Sentence Embeddings.
 

yobibyte Design your own matplotlib stylefile interactively
 

nathom A scriptable stream downloader for Qobuz, Tidal, Deezer and SoundCloud.
 

WeiZongqi Learning Calibrated-Guidance for Object Detection in Aerial Images arxiv
 

NorskRegnesentral Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels without pre-existing datasets
 

Minhluu2911 I'm challenging to myself to learn Machine Learning Algorithms, as much as I can within 2 months 😡
 

crixle Documentation of my Home Assistant work
 

kdav5758 TrueZen.nvim is a NeoVim plugin written mostly in Lua that aims to provide a cleaner and less cluttered interface [than usual] when toggled in either of it's two different modes (minimalist mode and ataraxis mode).
 
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gl4ssesbo1 Nebula is a Cloud and (hopefully) DevOps Penetration Testing framework. It is build with modules for each provider and each functionality. As of April 2021, it only covers AWS, but is currently an ongoing project and hopefully wil