Popular GitHub Repositories for Differentiable Programming

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

? The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

A programming framework for agentic AI ? PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

aider is AI pair programming in your terminal

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The Modular Platform (includes MAX & Mojo)

Open source AI coding agent. Designed for large projects and real world tasks.

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

? An exciting game of programming and Artificial Intelligence

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Probabilistic language based on pattern matching and constraint propagation, 153 examples

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

Python code for "Probabilistic Machine learning" book by Kevin Murphy

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

A language model programming library.

A PyTorch Library for Accelerating 3D Deep Learning Research

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

Probabilistic reasoning and statistical analysis in TensorFlow