Showing 801-820 of 2,275 projects
An open-source TensorFlow library for real-time face detection and landmark localization.
Efficient Segment Anything, a leveraged masked image pretraining model for efficient segmentation.
A Keras implementation of CapsNet, a deep learning model for image classification.
Dual Attention Network for Scene Segmentation, a computer vision model for image segmentation.
A Python library for 3D face reconstruction and animation using deep learning models.
A powerful tool for attribute-conditioned exploration of StyleGAN-generated images using Conditional Continuous Normalizing Flows.
DROID-SLAM is a Python library for real-time 3D reconstruction from RGB-D cameras.
This open-source repository provides SLAM (Simultaneous Localization and Mapping) code for autonomous driving scenarios.
A set of learning notes for the Apollo autonomous driving framework, useful for developers building self-driving car systems.
Highly efficient transformer-based model for high-resolution image restoration tasks like deblurring, deraining, and denoising.
A fast and accurate multi-object tracking library for real-time applications.
A Python desktop app for automatically translating comics in various formats and languages using computer vision and machine translation.
Direct Sparse Odometry (DSO) is a C++ library for visual-inertial odometry and SLAM.
An open-source multi-modal AI model based on LLaMA-3.8B for vibe coders to build with AI tools.
Face detection and recognition library for Python, using the Dlib computer vision library.
An efficient video loader for deep learning with smart shuffling, easy to use in AI/ML projects.
A lightweight digital human model that can run in real-time on mobile devices.
A TypeScript library that uses Llama 3.2 vision to perform OCR on documents and convert them to Markdown.
A curated list of resources on text-to-image generation and synthesis, useful for AI-focused developers.
A general-purpose deep learning backbone for molecular modeling, suitable for AI-focused developers.
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