TorchEEG is a library built on PyTorch for EEG signal analysis.

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Kolmogorov Arnold Networks

Python library for Reinforcement Learning.

A eBPF based lock tracer for the PostgreSQL database

LLM training in simple, raw C/CUDA

Schedule-Free Optimization in PyTorch

AI Alignment: A Comprehensive Survey

Differentiable convex optimization layers

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

The open-source language model computer

High throughput synchronous and asynchronous reinforcement learning

Grok open release

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Online Decision Transformer

A Go API for perf_event_open

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.

Performance related examples for Go

[mirror] Go Tools

Machine learning for NeuroImaging in Python

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

A simple closed-loop BCI simulator for testing real-time neural decoding algorithms

Robust recipes to align language models with human and AI preferences

📊 A minimalist, self-hosted WakaTime-compatible backend for coding statistics

Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)

Inference code for Llama models

llama.go is like llama.cpp in pure Golang!