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k5

K Framework Tools 5.0

llm-code-watermark

LLM Program Watermarking

metal

Snorkel MeTaL: A framework for training models with multi-task weak supervision

ml-agents

Unity Machine Learning Agents Toolkit

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

parallely

Parallely is a system for verification of approximations in parallel message-passing programs

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pasado

Synthesizing Precise Static Analyzers for Automatic Differentiation (OOPSLA 2023)

prob-tutorial

probfuzz

ProbFuzz: A Framework for Testing Probabilistic Programming Systems

probfuzz-db

ProbFuzz Bug Database

psyneulink

A block modeling system for cognitive neuroscience

pygpgo

Bayesian optimization for Python

pymc-learn

pymc-learn: Practical probabilistic machine learning in Python

pymc3

pymc3-1

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pyro

pysyft

A library for answering questions using data you cannot see

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

qiskit-aqua

Quantum Algorithms & Applications in Python

raster-vision

An open source framework for deep learning on satellite and aerial imagery.

sixthsense

A tool for predicting probabilistic program convergence ahead of run, with an application to debugging convergence problems in probabilistic programs.

snorkel

A system for quickly generating training data with weak supervision

sonnet

TensorFlow-based neural network library

spleeter

Deezer source separation library including pretrained models.

statheros

storm

Source code for Storm

storm-framework

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tera

Implementation of ISSTA'21 paper: TERA: Optimizing Stochastic Regression Tests in Machine Learning Projects