Popular GitHub Repositories for Linear Genetic 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

100 Days of ML Coding

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 ;)

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

The Modular Platform (includes MAX & Mojo)

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

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

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

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

CUDA Templates for Linear Algebra Subroutines

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

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.