Starred repositories
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
😎 A curated list of awesome GitHub Profile which updates in real time
This repository contains the Hugging Face Agents Course.
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Typer, build great CLIs. Easy to code. Based on Python type hints.
📺 Discover the latest machine learning / AI courses on YouTube.
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Companion webpage to the book "Mathematics For Machine Learning"
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
This repository contains demos I made with the Transformers library by HuggingFace.
Large Language Model Text Generation Inference
Collection of leetcode company tag problems. Periodically updating.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…
Machine Learning and Computer Vision Engineer - Technical Interview Questions
🤖 Machine Learning Summer School Guide
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Pen and paper exercises in machine learning
A toolkit for reproducible reinforcement learning research.
A curated list of resources for Document Understanding (DU) topic
moDel Agnostic Language for Exploration and eXplanation
🐍 ➡️ 📜 Auto-generate API documentation for Python projects