azadsalam

google-research

Google Research

ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

LLM101n

LLM101n: Let's build a Storyteller

pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

facets

Visualizations for machine learning datasets

python-uncompyle6

A cross-version Python bytecode decompiler

acme

A library of reinforcement learning components and agents

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

python-decompile3

Python decompiler for 3.7-3.8 Stripped down from uncompyle6 so we can refactor and start to fix up some long-standing problems

aqueduct

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

Awesome-Scientific-Language-Models

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

jalangi2

Dynamic analysis framework for JavaScript

bytecode

Python module to modify bytecode

pytorch-lightning-vae

VAE for color images

FitML

A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bellman, OpenAI solutions and others. You can watch our agents here http://bit.ly/2Ayj4vA

paired

PAIRED in PyTorch 🔥

quicksampler

Efficient Sampling of SAT Solutions for Testing

atlas

A Framework for Model-Backed Generators. Backend for AutoPandas (https://autopandas.io)

C-Code-Slicer

clutr