Computer Vision
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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.
An open-source SDK for logging, storing, querying, and visualizing multimodal, time-series data like images, point clouds, and tensors.
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.
A PyTorch implementation of YOLOv3 for real-time object detection, supporting export to ONNX, CoreML, and TFLite.
An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.
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.
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.
An accurate open-source library for visual, visual-inertial, and multi-map SLAM supporting monocular, stereo, and RGB-D cameras.
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.
Java interface to OpenCV, FFmpeg, and other computer vision libraries with utility classes for easier Java/Android integration.
A free, open-source, self-hosted face recognition system with REST API for detection, verification, and analysis.
A curated list of papers, code, and resources for object detection algorithms in computer vision.
Go language bindings for OpenCV 4, enabling computer vision applications with support for CUDA, DNN, and OpenVINO.
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.
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
An open-source RPA tool that automates repetitive tasks on websites, desktop apps, and the command line using a simple language.
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.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
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