Showing 1481-1500 of 1,525 projects
A Python-based object speed detection and tracking tool for Raspberry Pi and other Unix/Windows platforms.
MSF is a modular framework for multi-sensor fusion based on an Extended Kalman Filter, useful for robotics and computer vision applications.
A simple embedded database library in Rust modeled after SQLite, useful for Rust projects.
A library for accessing CUDA, the parallel computing platform and API, for vibe coders.
A fast CUDA matrix multiplication library from scratch for high-performance computing and AI workloads.
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
This is an applied computational genomics course, not a developer discovery platform for vibe coders.
A quantum chemistry and solid state physics software package for high-performance computing.
A collection of notes and projects on machine learning, deep learning, computer vision, NLP, and web scraping.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
A curated list of practical natural language processing tools and libraries in Ruby for developers.
Multi-platform emulator for classic computer and game console systems, with supporting frameworks and engines.
A curated list of SLAM (Simultaneous Localization and Mapping) resources for developers working in computer vision and robotics.
A PyTorch library for training and deploying efficient computer vision models using ViT-based architectures.
A collection of research papers and resources on computer vision tasks like image classification, object detection, and face recognition.
This is a repository containing course resources for the computer science program at the University of Science and Technology of China.
An edge-native container management system for edge computing, built with Go.
Programmable CUDA/C++ GPU Graph Analytics library for high-performance parallel graph processing.
A library for explaining the decisions made by Vision Transformers, a type of AI model used for computer vision tasks.
A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.
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