VimR — Neovim GUI for macOS in Swift

🐶 Kubernetes CLI To Manage Your Clusters In Style!

The open source coding agent.

Rust web framework inspired by Python's FastAPI: type-safe routing, zero-copy parsing, OpenAPI generation, and structured concurrency via asupersync

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Learn how to develop, deploy and iterate on production-grade ML applications.

18 Lessons to Get Started Building AI Agents

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

VIM Master: in-browser game that teaches core Vim motions and editing commands through short, focused levels.

Open Source RaceBox mini emulator

Structured Outputs

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

⚡ A Fast, Extensible Progress Bar for Python and CLI

BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.

Efficient LLM Inference over Long Sequences

LLM Frontend for Power Users.

The official API server for Exllama. OAI compatible, lightweight, and fast.

A fast inference library for running LLMs locally on modern consumer-class GPUs

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

Doing simple retrieval from LLM models at various context lengths to measure accuracy

Serving multiple LoRA finetuned LLM as one

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs