beekbin Follow 
Stars
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Embeddable C++17 Unicode library offering UTF encodings, general category info, simple and full casing, normalization forms, and combining marks stripping.
PyTorch original implementation of Cross-lingual Language Model Pretraining.
Ongoing research training transformer models at scale
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
TensorFlow code and pre-trained models for BERT
Setup and customize deep learning environment in seconds.
Mining Discourse Markers for Unsupervised Sentence Representation Learning
[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
Siamese and triplet networks with online pair/triplet mining in PyTorch
Code for the paper "Language Models are Unsupervised Multitask Learners"
Lifelong/Continual Learning Paper List
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Multi-Task Deep Neural Networks for Natural Language Understanding
A natural language modeling framework based on PyTorch
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A simple neural networks framework with RNN layers (python + numpy)