Showing 36 of 253 projects
A lightweight Python library for face recognition and facial attribute analysis (age, gender, emotion, race) with a unified API.
An open-source iOS framework for GPU-accelerated image and video processing using OpenGL ES 2.0.
An open-source AI memory tool that captures your screen and audio locally, enabling search and automation agents based on your computer activity.
An open-source AI memory tool that records your screen and audio locally, enabling search and automation agents based on your computer activity.
Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.
A JavaScript API for face detection, recognition, and analysis in the browser and Node.js using TensorFlow.js.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A PyTorch library providing datasets, model architectures, and image transformations for computer vision tasks.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
A graphical image annotation tool written in Python for computer vision tasks like segmentation and detection.
An industry-leading open-source data engine for interactive video and image annotation to power machine learning.
A free and open-source face recognition library using deep neural networks for research and applications.
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
A collection of pre-trained machine learning models ported to TensorFlow.js for use directly in the browser or Node.js.
A Python library for augmenting images and associated data (heatmaps, keypoints, bounding boxes) for machine learning projects.
A pure JavaScript image processing library for Node.js with zero native dependencies.
A Python library for video editing, processing, and custom effects creation through code.
A modern C++ toolkit for machine learning, computer vision, and data analysis applications.
An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
A friendly fork of PIL (Python Imaging Library) that adds comprehensive image processing capabilities to Python.
An open-source library for rapid development of software dealing with 3D data, with support for C++ and Python.
Google's IPython Notebook demonstrating neural network art generation using the DeepDream technique.
A PyTorch library providing state-of-the-art methods for generating visual explanations (Class Activation Maps) for computer vision models.
A high-performance CNN-based face detection library written in pure C++ with SIMD optimizations, achieving up to 1000 FPS.
A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
An open-source, node-based visual programming framework for creating and executing complex 3D reconstruction and computer vision pipelines.
Official JAX/Flax implementation of Vision Transformer (ViT) and MLP-Mixer for image recognition, with pre-trained models.
Generate 3D objects from text descriptions or images using conditional implicit functions.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.
An open-source Automatic License Plate Recognition library written in C++ with bindings for multiple programming languages.
A demand-driven, horizontally threaded image processing library optimized for speed and low memory usage.
A Python library for language-vision intelligence research, providing unified access to state-of-the-art models, datasets, and tasks.
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.