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User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Basic implementation of ResNet 50, 101, 152 in PyTorch
Video+code lecture on building nanoGPT from scratch
Code for the paper "Language Models are Unsupervised Multitask Learners"
Sky-T1: Train your own O1 preview model within $450
An all-weather, day-and-night, collision avoidance simulator that can be implemented as a digital twin for the autonomous COLREG-compliant navigation of maritime vessels.
Solutions to Popular LeetCode Problems
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A toolkit for developing and comparing reinforcement learning algorithms.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Machine Learning algorithm implementations from scratch.
A Machine Learning framework from scratch in Pure Mojo 🔥
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Open source platform for the machine learning lifecycle
Apache Spark - A unified analytics engine for large-scale data processing
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows