Stars
Compact Generalized Non-local Network (NIPS 2018)
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tomas Mikolov's Recurrent Neural Networks Language Modeling Toolkit from http://www.rnnlm.org, with tagged historical releases.
Running compostionality tests on InferSent embedding on SNLI
Models and examples built with TensorFlow
Repository for "Generating Sentences by Editing Prototypes"
falcondai / OpenNMT-py
Forked from OpenNMT/OpenNMT-pyOpen-Source Neural Machine Translation in PyTorch http://opennmt.net/
An open-source NLP research library, built on PyTorch.
Summaries and notes on Deep Learning research papers
Deep learning with dynamic computation graphs in TensorFlow