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C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

Artworks dealing with computer vision technologies.

Master's Degree in Data Science and Computer Engineering @ University of Granada applies AI to data analysis, extraction, visualization, or business…

tldraw computer supports AI agents, automated workflows, orchestration, or delegated tasks.

Live countdowns for global AI conferences & exhibitions in Machine Learning, Computer Vision, Robotics & NLP.

Organizes AI tools and resources so people can browse and compare relevant services.

AI platform for computer vision and NLP.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.

Train and run a computer vision model with 5-10 lines of code.

Python distributed computing library for modern computer clusters.

Package for computer vision using OpenCV 4 and beyond.

Greg (Grzegorz) Surma - Portfolio; Machine Learning, Computer Vision, Self-Driving Cars, AI.

Lightly is a computer vision framework for self-supervised learning.

Pretrain computer vision models on unlabeled data for industrial applications.

For anyone who wants to discover computer science, because it is cool!

Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.

Open source computer vision API based on open source models.

Supports software work with AI-assisted coding, testing or application development.

A PyTorch-Based Framework for Deep Learning in Computer Vision.

Test your ability to tell if an image is human or computer generated.

VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.

Creates, rewrites or summarizes written content with language models.

Track your datasets, code changes, experimentation history, and models.