Showing 341-360 of 848 projects
Benchmarks for popular CNN models, useful for developers working on computer vision and deep learning projects.
A suite of tools for implementing, training, and testing semantic segmentation models in TensorFlow.
A self-hosted, local-only NVR and AI computer vision software with features like object detection and face recognition.
A high-accuracy image segmentation tool using the U-2-Net deep learning model for background removal.
A collection of summaries for machine learning research papers, useful for developers interested in AI and deep learning.
A powerful multimodal AI model for real-time vision and speech interaction, built for developers who work with AI tools.
A Chrome extension that uses Meta's Segment Anything Model to extract and copy objects from images.
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
Contrastive unpaired image-to-image translation library using PyTorch, with faster and lighter training than CycleGAN.
A comprehensive collection of resources for human pose estimation using computer vision and deep learning.
A JavaScript library that allows real-time location tracking using Telegram API integration.
A framework for building AI agents with strong reasoning abilities, self-improvement, and skill curation in a general computing environment.
Dual Attention Network for Scene Segmentation, a computer vision model for image segmentation.
Highly efficient transformer-based model for high-resolution image restoration tasks like deblurring, deraining, and denoising.
A Python desktop app for automatically translating comics in various formats and languages using computer vision and machine translation.
Face detection and recognition library for Python, using the Dlib computer vision library.
A TypeScript library that uses Llama 3.2 vision to perform OCR on documents and convert them to Markdown.
A multi-robot simulator for autonomous vehicles, focused on AI and machine learning development.
3D Gaussian splatting studio for photorealistic NeRF rendering and computer vision.
A project that demonstrates how to perform computer vision tasks using just Microsoft Excel formulas.
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