Google's Engineering Practices documentation

Quiz & Assignment of Coursera

PyTorch original implementation of Cross-lingual Language Model Pretraining.

Datasets, Transforms and Models specific to Computer Vision

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Compiler for Neural Network hardware accelerators

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Python Implementation of Reinforcement Learning: An Introduction

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"

PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)

NLP made easy

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Facebook AI Research's Automatic Speech Recognition Toolkit

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

Latent Alignment and Variational Attention

Sample code for the Effective Modern C++ book by Scott Meyers.

Transformer for abstractive summarization on cnn/daily-mail and gigawords

Google AI 2018 BERT pytorch implementation

C++ Design Patterns

PyTorch implementation of the position-aware attention model for relation extraction

Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)

C++ High Performance, published by Packt

EPI Judge - Preview Release