Starred repositories
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…
Integrate the DeepSeek API into popular softwares
Papers from the computer science community to read and discuss.
This repository serves as a central hub for discovering tools and services focused on automated prompt engineering. Whether you're looking to optimize your prompts for generative AI models or enhan…
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks…
Practical course about Large Language Models.
📚 Freely available programming books
A modular graph-based Retrieval-Augmented Generation (RAG) system
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Python toolkit for quantitative finance
llama3 implementation one matrix multiplication at a time
Deep Reinforcement Learning: Zero to Hero!
A simple streamlit app that performs Retrieval-Augmented Generation over a corpus of presidential speeches
Open-source vector similarity search for Postgres
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
A complete daily plan for studying to become a machine learning engineer.
Roadmap to becoming an Artificial Intelligence Expert in 2022
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…