Stars
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Curated list of data science interview questions and answers
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Learn it. Build it. Ship it for others.
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
Implementing DeepSeek R1's GRPO algorithm from scratch
[ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
A curated collection of high-quality interview questions and answers for AI-related roles. This repository helps candidates understand how interviews differ across roles, not just memorize answers.
European Summer of Code 2026 - Information and Projects
LLM Finetuning with peft
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
The Multi-Agent AI Finance Assistant is an open-source platform designed to provide intelligent financial analysis and decision-making support using a multi-agent AI framework. Leveraging large lan…
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
"Paper2Slides: From Paper to Presentation in One Click"
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
🐙 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.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"