Stars
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Master programming by recreating your favorite technologies from scratch.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Production-ready platform for agentic workflow development.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
Op 5BC9 en-source code for paper "Dataset Distillation"
Open-Sora: Democratizing Efficient Video Production for All
🔥Highlighting the top ML papers every week.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…