Computer Vision
Showing 36 of 253 projects
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
Open Source Computer Vision Library providing real-time image processing and AI capabilities.
An open-source library with over 2500 optimized algorithms for real-time computer vision and machine learning.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for research and production.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for machine learning.
An open-source OCR engine that converts images to text, supporting over 100 languages and multiple output formats.
A latent text-to-image diffusion model that generates detailed images from text prompts, running on GPUs with at least 10GB VRAM.
A curated list of awesome machine learning frameworks, libraries, and software organized by programming language.
A curated list of awesome machine learning frameworks, libraries, and software organized by programming language.
A multi-backend deep learning framework that enables effortless model development across JAX, TensorFlow, PyTorch, and OpenVINO.
A state-of-the-art PyTorch-based computer vision model for object detection, segmentation, and classification.
A simple Python library and CLI tool for facial recognition, detection, and feature manipulation using dlib's deep learning models.
A cutting-edge framework for training and deploying state-of-the-art YOLO models for object detection, segmentation, classification, and pose estimation.
A curated reading roadmap of foundational and state-of-the-art deep learning papers for newcomers and researchers.
A comprehensive collection of PyTorch image models, layers, utilities, and training scripts for computer vision research and applications.
Interactive point-based manipulation tool for editing GAN-generated images by dragging points to target positions.
Cross-platform framework for building customizable on-device machine learning pipelines for live and streaming media.
A fast open framework for deep learning with a focus on expression, speed, and modularity.
A PyTorch-based platform for state-of-the-art object detection, segmentation, and visual recognition tasks.
Connects ChatGPT with visual foundation models to enable sending and receiving images during chat interactions.
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
An open-source, multi-format 1D/2D barcode image processing library implemented in Java.
A collection of concise PyTorch tutorials for deep learning researchers, with most models implemented in under 30 lines of code.
A ready-to-use OCR Python library supporting 80+ languages and popular writing scripts like Latin, Chinese, Arabic, and Cyrillic.
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A deep learning tool for upscaling and denoising anime-style images and photos using convolutional neural networks.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
An open-source data labeling tool for annotating audio, text, images, videos, and time series with a simple UI and standardized output.
An open source neural network framework in C and CUDA, known for YOLO real-time object detection models.
Facebook AI Research's software system implementing state-of-the-art object detection algorithms like Mask R-CNN and RetinaNet.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch.
A curated list of awesome computer vision resources, including papers, datasets, software, and tutorials.
A curated list of awesome computer vision resources, including papers, datasets, software, and courses.
A high-performance neural network inference framework optimized for mobile platforms, enabling efficient AI deployment on edge devices.
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