Computer Vision
Showing 36 of 711 projects
A Python library for language-vision intelligence research, providing unified access to state-of-the-art models, datasets, and tasks.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
A standalone, large-scale open-source library for 2D/3D image and point cloud processing.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.
A PyTorch implementation of YOLOv3 for real-time object detection, supporting export to ONNX, CoreML, and TFLite.
A comprehensive resource of deep learning techniques and models for analyzing satellite and aerial imagery.
A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.
A lightweight JavaScript library for real-time computer vision in the browser, including color tracking and face detection.
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
Deep Lake is a multimodal data lake and vector store optimized for AI, enabling scalable data management, retrieval, and training for LLM and deep learning applications.
An accurate open-source library for visual, visual-inertial, and multi-map SLAM supporting monocular, stereo, and RGB-D cameras.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
An interactive visualization system for learning how Convolutional Neural Networks work through hands-on exploration.
A PyTorch-based open-source framework for deep learning in healthcare imaging, providing domain-specific tools and workflows.
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
A free, open-source, self-hosted face recognition system with REST API for detection, verification, and analysis.
Java interface to OpenCV, FFmpeg, and other computer vision libraries with utility classes for easier Java/Android integration.
Go language bindings for OpenCV 4, enabling computer vision applications with support for CUDA, DNN, and OpenVINO.
A curated list of papers, code, and resources for object detection algorithms in computer vision.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A Python framework for creating AI agents that learn to play any video game you own.
A public dataset of 50 million vector drawings across 345 categories, captured from the Quick, Draw! game.
A curated list of awesome neural radiance fields (NeRF) papers, implementations, and resources.
A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.
An open-source PyTorch toolbox for general 3D object detection, supporting LiDAR, camera, and multi-modal models.
A local-first, ML-powered desktop application for translating manga, built in Rust with automated text detection, OCR, inpainting, and LLM translation.
An open-source RPA tool that automates repetitive tasks on websites, desktop apps, and the command line using a simple language.
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
A high-performance neural network training interface for TensorFlow, optimized for speed and research flexibility.
A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.
A curated list of resources dedicated to recurrent neural networks (RNNs) and deep learning.
A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
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