BERT-related papers

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Implementation of Meta-Learning with Latent Embedding Optimization

Contrastive Learning of Structured World Models

Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

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

The Natural Language Decathlon: A Multitask Challenge for NLP

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

Lifelong learning experiments

Assessing syntactic abilities of BERT

Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

Visualizations for machine learning datasets

in progress

Magenta: Music and Art Generation with Machine Intelligence

A curated list of awesome distributed systems books, papers, resources and shiny things.

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

Code for Tensorflow Machine Learning Cookbook

An interactive guide to the game theory of cooperation