1.rohitg00 / ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
Ranked by Attention Score: stars gained over the last 180 complete days
1–100 of 118 by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
Learn AI Engineering! Learn it. Build it. Ship it for others.
12 Weeks, 24 Lessons, AI for All!
We write your reusable computer vision tools. 💜
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Open Source Computer Vision Library
500 AI Machine learning Deep learning Computer vision NLP Projects with code
List of Computer Science courses with video lectures.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
《明日方舟》小助手,全日常一键长草!| A one-click tool for the daily tasks of Arknights, supporting all clients.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Cross-platform, customizable ML solutions for live and streaming media.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
COLMAP - Structure-from-Motion and Multi-View Stereo
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Visualize, query, and stream to train on multimodal robotics data.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Your new Mentor for Data Science E-Learning.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open-source simulator for autonomous driving research.
Refine high-quality datasets and visual AI models
A collaboration friendly studio for NeRFs
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
🐍 Geometric Computer Vision Library for Spatial AI
CVPR 2026 论文和开源项目合集
Fast and Accurate ML in 3 Lines of Code
An open source implementation of CLIP.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Learn OpenCV : C++ and Python Examples
Content aware image resize library
Webots Robot Simulator
Node-based Visual Programming Toolbox
Datasets, Transforms and Models specific to Computer Vision
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Point Cloud Library (PCL)
Image-to-Image Translation in PyTorch
Instant neural graphics primitives: lightning fast NeRF and more
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A MNIST-like fashion product database. Benchmark :point_down:
ROS-based framework and RPi image to control PX4-powered drones 🍀
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
OpenCV wrapper for .NET
A toolkit for making real world machine learning and data analysis applications in C++
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Low-code framework for building custom LLMs, neural networks, and other AI models
Image processing in Python
openFrameworks is a community-developed cross platform toolkit for creative coding in C++.
A Modular Optimization framework for Localization and mApping (MOLA)
An open-source platform for Visual AI.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
3D Computer Vision Framework
Face recognition using Tensorflow
A python library for self-supervised learning and latent world models on images.
Java interface to OpenCV, FFmpeg, and more
Statistical Machine Intelligence & Learning Engine
Index repo for Kimera code
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Image-to-image translation with conditional adversarial nets
Open scientific N-dimensional image processing :microscope: :sparkler:
A curated list of papers & resources linked to 3D reconstruction from images.
Public domain software for processing and analyzing scientific images
Learn Robotics with JdeRobot
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
OpenMMLab Foundational Library for Training Deep Learning Models
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
:zap: The Mobile Robot Programming Toolkit (MRPT)
Visual tracking library based on PyTorch.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
An open source library and framework for deep learning on satellite and aerial imagery.
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
A curated list of deep learning image classification papers and codes
An open source tool to quantify the world
A selection of state-of-the-art research materials on trajectory prediction
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Accelerated deep learning R&D
Resources of Neural Rendering
YOLO ROS: Real-Time Object Detection for ROS
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Interactive Image Generation via Generative Adversarial Networks
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
A collection of useful datasets for robotics and computer vision
Machine learning, computer vision, statistics and general scientific computing for .NET
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Upscale an image by a factor of 4, while generating photo-realistic details.