Background Removal written with swift using u2net model
YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
Actor-based state management & orchestration for complex app logic.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Run Stable Diffusion on Mac natively
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Collection of models for Core ML
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
