Stars
A direct successor to PuzzleScript, building on the work of PuzzleScript Plus, Pattern:Script and others.
A set of useful Google Sheets functions for Mystery Hunt.
A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.
Repository for the paper "Metadata Normalization"
Watch This Place's awesome video about iterated Prisoner's Dilemma for context! https://www.youtube.com/watch?v=BOvAbjfJ0x0
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
Butterfly matrix multiplication in PyTorch
Soul of a tiny new machine. More thorough tests → More comprehensible and rewrite-friendly software → More resilient society.
Fast, SIMD-accelerated extended-precision arithmetic for Julia
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
A collection of tutorials for Snorkel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Explaining a black-box using Deep Variational Information Bottleneck Approach
Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Learning to Compose Domain-Specific Transformations for Data Augmentation
TensorFlow code and pre-trained models for BERT
Super easy library for BERT based NLP models
Automatically labeling training data
Snorkel MeTaL: A framework for training models with multi-task weak supervision
A system for quickly generating training data with weak supervision
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python