Multiversal tree writing interface for human-AI collaboration

𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.

A fast, powerful type checker designed for Ruby

Programming language agnostic type construction language based on polynomials.

A simple Python debugger and profiler that generates animated visualizations of program flow.

Typhoeus wraps libcurl in order to make fast and reliable requests.

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Lime: Explaining the predictions of any machine learning classifier

Redux and your server talking without fuss.

Adaptive Experimentation Platform

Non official project based on original /r/Deepfakes thread. Many thanks to him!

Scale database reads to replicas in Rails

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

A network event stream processing system, in Clojure.

Bayesian inference in Scala.

Business intelligence made simple

Library containing optimization logic (auto-assign heuristics, gas station planning, gas station list aggregation code).

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

🤖 Neural networks in JavaScript

BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.

A mocking library for testing stripe ruby

A Go-based static site generator that compiles brandur.org.

Queries to mesure statistical bloat in indexes and tables for PostgreSQL

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.