Repository Index

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

• system-design
• backend
• scalability
• interview

🧑‍🏫 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, ... 🧠

• deep-learning
• deep-learning-tutorial
• pytorch
• gan

The Julia Programming Language

• julia-language
• julia
• scientific
• hpc

The Modular Platform (includes MAX & Mojo)

• ai
• language
• machine-learning
• mojo

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

• pytorch
• python
• machine-learning
• deep-learning

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

• machine-learning
• python
• data-science
• automl

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

• avx2
• c99
• cpu-inference
• deep-learning

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

Interactive Go programming with Jupyter

• go
• golang
• jupyter-notebook-kernel
• jupyter-notebook

Genetic Programming in Python, with a scikit-learn inspired API

• genetic-programming
• machine-learning
• python
• scikit-learn

DiffSharp: Differentiable Functional Programming

• machine-learning
• tensor
• dotnet
• autodiff

An OCaml kernel for Jupyter (IPython) notebook

• ocaml
• functional-programming
• jupyter-kernels
• machine-learning

A simple and functional machine learning library for the Erlang ecosystem

• elixir
• machine-learning
• functional-programming
• erlang

A group of neural-network libraries for functional and mainstream languages

• neural-network
• machine-learning
• functional-programming
• javascript

Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.

• parallel
• data-science
• go-echarts
• data-visualization

Stream Processing Made Easy

• machine-learning
• reactive-programming
• kafka
• reactive-systems

A neural networks library for Clojure

• clojure
• machine-learning
• deep-learning
• neural-network