Popular GitHub Repositories for Cuda 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 high-throughput and memory-efficient inference and serving engine for LLMs

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)

SGLang is a fast serving framework for large language models and vision language models.

kaldi-asr/kaldi is the official location of the Kaldi project.

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

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

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.

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

? An exciting game of programming and Artificial Intelligence

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Containers for machine learning

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

CUDA Templates for Linear Algebra Subroutines