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A simple and beginner-friendly introduction to computer science concepts.
A PyTorch implementation of image classification models for popular datasets like CIFAR-10, ImageNet, and more.
TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.
A C++ implementation of Halcon's shape-based matching algorithm for computer vision applications.
functorch is a PyTorch library that provides JAX-like composable function transforms for gradient, hessian, and other computations.
A curated list of Machine Learning, AI, and NLP solutions for iOS development.
A differentiable rendering library that enables Monte Carlo ray tracing without approximation for computer graphics and vision applications.
BASNet is a PyTorch library for boundary-aware salient object detection, useful for computer vision applications.
A Python repository for experimenting with deep learning and computer vision using images of cats.
Knet.jl is a deep learning framework for the Julia programming language, focused on research and scientific computing.
Command line tools for building and managing Azure Functions, a serverless computing service.
RuleGo is a lightweight, high-performance rule engine framework for Go, enabling data-driven automation and workflow orchestration.
A curated list of recent Transformer-based computer vision papers and implementations.
A comprehensive collection of open-source AI/ML modules and models for a wide range of computer vision and NLP tasks, suitable for vibe coders.
An implementation of federated learning, a distributed machine learning technique, using PyTorch.
This open-source repository provides a comprehensive set of Chinese tutorials for the popular OpenCV computer vision library in Python.
Lightning-fast cluster computing in Java, Scala and Python.
A collection of notes and advice for incoming computer science students from the future.
SimpleRecon is a 3D reconstruction library that uses a novel approach without 3D convolutions, optimized for computer vision tasks.
A Kubernetes Operator for MinIO clusters, providing a simple way to deploy and manage MinIO storage in Kubernetes environments.
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