Lists (3)
Stars
🏡 Open source home automation that puts local control and privacy first.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Most popular metrics used to evaluate object detection algorithms.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
A collection of loss functions for medical image segmentation
Automatically create and sync Home Assistant backups into Google Drive
Sparsity-aware deep learning inference runtime for CPUs
DeepLab v3+ model in PyTorch. Support different backbones.
Medical imaging processing for AI applications.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Script that allows to download portable installers of different versions Adobe software for macOS
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…
This is the Adobe URL/IP block list for the Host file.
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
Synchronisation of Withings weight
Ranger deep learning optimizer rewrite to use newest components
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
A generalizable application framework for segmentation, regression, and classification using PyTorch