Repository Index

🧑‍🏫 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

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 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

DiffSharp: Differentiable Functional Programming

• machine-learning
• tensor
• dotnet
• autodiff

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

A neural networks library for Clojure

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