A collection of infrastructure and tools for research in neural network interpretability.

LLM Council works together to answer your hardest questions

A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.

A computer science textbook

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Open Source Continuous Inference Benchmarking Qwen3.5, DeepSeek, GPTOSS - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 vs H100 & soon™ TPUv6e/v7/Trainium2/3

[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Experimental library integrating LLM capabilities to support causal analyses

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…

AI assistant for full-text arXiv search & citation-backed Q&A—dive past abstracts into equations, methods, and results.

This repo tracks the opened and merged PRs by the top SWE coding agents by OpenAI, GitHub, and others. Updates regularly.

Plano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.

Go ahead and axolotl questions

this repository accompanies the book "Grokking Deep Learning"

Atropos is a Language Model Reinforcement Learning Environments framework for collecting and evaluating LLM trajectories through diverse environments

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

I made my AI think harder by making it argue with itself repeatedly. It works stupidly well.

Build Anything with AI Agents

Pocket Flow: Codebase to Tutorial

A high-performance IoT development platform built with Rust, designed for multi-protocol support and real-time data processing. This platform supports MQTT, WebSockets (WS), TCP, and CoAP protocols…

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Just enough Kubernetes for you to fly

A flexible benchmarking suite for evaluating Gemma, Mistral, and other LLMs on academic benchmarks like MMLU.

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

High-performance In-browser LLM Inference Engine

Give Cursor Agent an AI Team and Advanced Skills

Enhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking, and markdown formatting of scanned PDFs