All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Rich is a Python library for rich text and beautiful formatting in the terminal.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Data validation using Python type hints

Magenta: Music and Art Generation with Machine Intelligence

Best Practices on Recommendation Systems

Accelerate your web app development | Build fast. Run fast.

Multilingual Sentence & Image Embeddings with BERT

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Google AI 2018 BERT pytorch implementation

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Benchmarks of approximate nearest neighbor libraries in Python

A Python implementation of LightFM, a hybrid recommendation algorithm.

Game Boy emulator written in Python

Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.

An Open-Source Package for Neural Relation Extraction (NRE)

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Fast Python Collaborative Filtering for Implicit Feedback Datasets

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

Hummingbird compiles trained ML models into tensor computation for faster inference.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Deep recommender models using PyTorch.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

A collection of research papers on decision, classification and regression trees with implementations.