Machine Learning for Go

Codebase for testing whether hidden states of neural networks encode discrete structures.

Succinct data structures and compressed array library

An Efficient Language Model Using Double-Array Structures

Python library for working with kernel methods in machine learning

hanabi_learning_environment is a research platform for Hanabi experiments.

Code for the paper "Language Models are Unsupervised Multitask Learners"

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Google AI 2018 BERT pytorch implementation

Software for IPSJ International AI Programming Contest: SamurAI Coding 2018-2019

PyTorch implementation of Gaussian word embeddings

http://eblearn.sourceforge.net/

My LaTeX templates

A C++ Library for Discrete Graphical Models

The most cited deep learning papers

A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.

Japanese Word Similarity Dataset

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presente…

A Tutorial about Programming for Natural Language Processing

C++ implementation for Neural Network-based NLP, such as LSTM machine translation!

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

paragraph vector trained by negative sampling

The fastai deep learning library

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

TensorFlow code and pre-trained models for BERT

Beginner's guide for C++