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Starred repositories
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
AI agents running research on single-GPU nanochat training automatically
Get your documents ready for gen AI
🎨 Diagram as Code for prototyping cloud system architectures
A community-supported supercharged document management system: scan, index and archive all your documents
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
Image-to-Image Translation in PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Graph Neural Network Library for PyTorch
Fast and memory-efficient exact attention