A theoretical and practical deep dive into Reinforcement Learning with Human Feedback and it’s applications in Large Language Models from scratch.

Statistical Rethinking Course 2026

Declarative visualization library for Python

Command-line sampling profiler for macOS, Linux, and Windows

Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.

GPU-accelerated MDP solvers in Python with JAX

Turso is an in-process SQL database, compatible with SQLite.

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Kolmogorov Arnold Networks

Solve puzzles. Improve your pytorch.

Deep Reinforcement Learning: Zero to Hero!

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Cloudflare's Rust service foundations library.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Machine Learning Engineering Open Book

Unified framework for building enterprise RAG pipelines with small, specialized models

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

</> htmx - high power tools for HTML

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Structured Outputs

Minimalist ML framework for Rust

How to Build Robots and Make Them Move

Small snippets of code we often find useful

A super fast stream processing framework that somewhat mirrors Apache Flink's streaming primitives and is designed for simplicity.

📖 A collection of pure POSIX sh alternatives to external processes.

A Go (golang) Google App Engine datastore package with strongly consistent caching.