Trending machine-learning repos

Learn AI Engineering! Learn it. Build it. Ship it for others. Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingPython★ 69k

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with… Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingHTML★ 173k

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU. Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingC★ 9k

ARIS (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment… Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingPython★ 17k

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers… Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingPython★ 18k

Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both… Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingPython★ 168k

In-depth tutorials on LLMs, RAGs and real-world AI agent applications. Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingJupyter Notebook★ 38k

A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a… Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingPython★ 611

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for… Why it matters: worth a look if you build or run autonomous agents.

AI agentsC++★ 32k

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. Why it matters: useful plumbing for shipping LLM-powered features.

LLM toolingPython★ 8.9k

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook… Why it matters: relevant for grounding LLMs in your own data.

RAG / vectorJupyter Notebook★ 30k

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems. Why it matters: worth a look if you build or run autonomous agents.

AI agentsJupyter Notebook★ 25k