C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
Directory
Search results
Published directory entries matching your search.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
) - Reactive Nostr framework with utilities for building reactive UIs and event stores.
) - A bare-bones desktop nostr client using electron-react-boilerplate. The goal is to be an easy template for people to experiment with different ideas on decentralized ratings, reputation, and web of trust
A React component for playing a variety of URLs, including file paths, YouTube, Facebook, Twitch, SoundCloud, Streamable, Vimeo, Wistia and DailyMotion
Swipe to navigate
Native version of Elk, a nimble Mastodon web
Native PC gaming with Steam, Epic, GOG and Amazon integrations on Android
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
Camera Kit SDK for iOS
An open-source SDK package for Flutter that provides developers with seamless integration and access to Snapchat's CameraKit features within their Flutter applications.
An alternative, self-hosted solution that allows you to continue using Snap Camera with all Snapchat filters after its shutdown on January 25, 2023.
Snap Camera Server Auto Configuration Tool for Windows and macOS.
Signature Patch to unlock all Snap Lenses with Snap Camera Server.
GitHub malware research repository containing live samples for controlled analysis environments.
Organizes AI tools and resources so people can browse and compare relevant services.
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Package for computer vision using OpenCV 4 and beyond.
Lightly is a computer vision framework for self-supervised learning.
Pretrain computer vision models on unlabeled data for industrial applications.
A PyTorch-Based Framework for Deep Learning in Computer Vision.