Stars
AI agents running research on single-GPU nanochat training automatically
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes…
A feature-rich command-line audio/video downloader
Подробная инструкция (как в pdf, так и в md формате) о настройке своего совбственного Xray-VPS-сервера (с протоколом VLESS XTLS-Reality через панель 3x-ui), а также настройке клиентских приложений …
Machine Learning Engineering Open Book
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
[Up-to-date] A curated list of resources on cold-start recommendations.
A framework for large scale recommendation algorithms.
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Paper List for Recommend-system PreTrained Models
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Best Practices on Recommendation Systems
This repository collects debiasing methods for recommendation
Heavily inspired by https://github.com/mathiasbynens/dotfiles
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …
A list of totally open alternatives to ChatGPT
Source code for the X Recommendation Algorithm