A high performance and generic framework for distributed DNN training

ripgrep recursively searches directories for a regex pattern while respecting your gitignore

Code for "CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning" (WWW 2019)

Must-read papers on network representation learning (NRL) / network embedding (NE)

Spectre.css - A Lightweight, Responsive and Modern CSS Framework

DEPRECATED - Let's make a SQL parser so we can provide a familiar interface to non-sql datastores!

An algorithm for cross-domain NL2SQL

A general-purpose neural semantic parser for mapping natural language queries into machine executable code

A dataset containing human-human knowledge-grounded open-domain conversations.

Change Python code while it's running without losing state

Author implementation of the paper "Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing"

Conditional Transformer Language Model for Controllable Generation

Source code and dataset of "Joint Modeling of Topics and Discourse in Microblog Conversations"

A simple yet strong implementation of neural machine translation in pytorch

Hierarchical Models for Sentiment Analysis in Pytorch

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

Dynamic Key-Value Memory Networks for Knowledge Tracing

Structured Inference Networks for Nonlinear State Space Models

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

The Economist 经济学人，持续更新

Collection of generative models in Pytorch version.

Pointer-generator reinforced seq2seq summarization in PyTorch

🤗 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.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Reading Wikipedia to Answer Open-Domain Questions

IDEA (IDentifying Emerging issues from App reviews) is a framework for detecting emerging issues from version-sensitive app reviews.

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.