Stars
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
Mac app to demonstrate swift-transformers
Swift Package to implement a transformers-like API in Swift
Swift app demonstrating Core ML Stable Diffusion
Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.
Extract paint from key distributors and find best correlating pairs
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Public code release for our SIGGRAPH 2019 paper "PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networks"
Public code release for our CVPR 2019 paper "Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models"
Largest list of models for Core ML (for iOS 11+)
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
Implementation of a wall segmentation algorithm in PyTorch.
A complete computer science study plan to become a software engineer.
Combines the high accuracy of AR with the scale of GPS data.
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects
🏁 Automatically clean your Localizable.strings files
⚡️ Modern replacement for Apple's Reachability written in Swift and made elegant using Combine.
Algorithms and data structures in Swift, with explanations!
Reuse Python code in native iOS applications
Simple python script for industrial defect inspection( counting the number of pills during manufacturing)
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.