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A comprehensive resource for learning machine learning and deep learning using Python and popular libraries.
Curated list of resources for building autonomous vehicles and self-driving car technology
This GitHub repository provides a curated list of resources related to neural rendering, a technique in computer graphics and computer vision.
A collection of 200+ flashcards covering topics in machine learning, computer vision, and computer science.
A dataset of annotated 3D object videos for training computer vision and augmented reality models.
TengineKit is a fast and easy-to-use SDK for real-time face detection, face landmarks, face attributes, hand detection, body detection, and more on mobile devices.
A curated collection of ICCV conference papers, code, and interpretations for computer vision developers.
Turn any computer or edge device into a command center for your computer vision projects.
An open-source library for deep learning on satellite and aerial imagery using Python and PyTorch.
A Python library that converts images of LaTeX math equations into LaTeX code using computer vision and deep learning.
A library for differentiable nonlinear optimization, useful for computer vision and robotics tasks.
An integrated federated learning library for research and production use cases.
A CVPR'24 highlighted Python library for building Gaussian Splatting SLAM systems for robotics.
Cambrian-1 is a multimodal LLM with a vision-centric design for building AI-powered chatbots and applications.
A PyTorch library for exploring deep and shallow knowledge distillation experiments with flexibility.
A high-performance 3D rendering library for ray tracing and hybrid rasterization of Gaussian particles.
A lightweight 3D Morphable Face Model library in modern C++ for computer vision and image processing.
Custom Diffusion: A Python implementation of text-to-image diffusion models for computer vision applications.
A computer vision library for training and deploying deep learning models, with support for popular datasets and tasks.
An ECCV 2022 paper on long-term video object segmentation using an Atkinson-Shiffrin memory model.
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