An extremely fast Python package and project manager, written in Rust.

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

Rich is a Python library for rich text and beautiful formatting in the terminal.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

A library for efficient similarity search and clustering of dense vectors.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

PyTorch Tutorial for Deep Learning Researchers

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A generative world for general-purpose robotics & embodied AI learning.

Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.

An open autonomous driving platform

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Python logging made (stupidly) simple

CVPR 2025 论文和开源项目合集

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

A collection of various deep learning architectures, models, and tips

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A fast JSON parser/generator for C++ with both SAX/DOM style API

Google's Operations Research tools:

This repository contains demos I made with the Transformers library by HuggingFace.

{ 고퀄리티 ⚡ 개발 컨텐츠 모음 }

Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.

TensorFlow Tutorials with YouTube Videos

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Common used path planning algorithms with animations.