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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
scikit-learn: machine learning in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
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.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementations of Generative Adversarial Networks.
100+ Chinese Word Vectors 上百种预训练中文词向量
An open-source NLP research library, built on PyTorch.
Google AI 2018 BERT pytorch implementation
Facilitating the design, comparison and sharing of deep text matching models.
Models, data loaders and abstractions for language processing, powered by PyTorch
A PyTorch implementation of the YOLO v3 object detection algorithm
pytorch tutorial for beginners
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Code for the paper "Improved Techniques for Training GANs"
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Basic Utilities for PyTorch Natural Language Processing (NLP)
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
An open source framework for seq2seq models in PyTorch.
Underthesea - Vietnamese NLP Toolkit
Question answering dataset featured in "Teaching Machines to Read and Comprehend
A simple Python script showing how the backpropagation algorithm works.
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"