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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.

Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.

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

High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.

Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.

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.

React Native app for running LLMs, vision models, and Stable Diffusion on-device on iOS and Android without internet access. opensource.

Open source computer vision API based on open source models.

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

Research data portal for exploring art history, music, theatre and media studies records, including image.

Specialized AI vision for extracting engineering specs from PDF/JPG to Excel.

Browse research datasets and datasets related to basic in biology and medicine.

A computer vision tool that protects children's video identities during online video conferencing with anonymizing snapchat-like filters and face recognition tracking. It's a different kind of mask, a fun one! :turtle:

TwelveLabs delivers enterprise video AI powered by multimodal intelligence. Search, analyze, and understand video across vision, audio, and language.

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