Reverse Dependencies of yacs

The following projects have a declared dependency on yacs:

• alectiolite — Integrate customer side ML application with the Alectio Platform
• anai-opensource — Automated ML
• apple-upscale — Export utility for unconstrained channel pruned models
• augly — A data augmentations library for audio, image, text, & video.
• autogluon-contrib-nlp — MXNet GluonNLP Toolkit (DeepNumpy Version)
• biapy — BiaPy: Bioimage analysis pipelines in Python
• bism — Biomedical Image Segmentation Models (BISM)
• boxmot — BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
• ciliaseg — no summary
• cub-tools — Caltech UCSD Birds Database Tools for PyTorch Image Classification
• cvgear — Computer Vision Gears
• DANE — Utils for working with the Distributed Annotation and Enrichment system
• dane-workflows — Library providing batch upload & monitoring for (DANE) processing environments
• dbgym — DBGym: platform for ML research and application on databases
• deep-image-matching — Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software.
• delta-center-client — The client for delta center (used with opendelta).
• detecting — detecting
• dlg-home-content — model to identify tv sizes using images
• easysim — A library for creating Gym environments with unified API to various physics simulators
• EmotiVoice — EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
• evolly — Evolutionary NAS framework
• ezflow — A PyTorch library for optical flow estimation using neural networks
• fake-check — baseline deepcheck module
• fandak — A Framework for ML Research Using PyTorch
• fastreid — SOTA Re-identification Methods and Toolbox
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• file-cache — Cache dataframe with local hd5 file, and reduce the memory by convert type for number
• flower-classifier — no summary
• fvbitcore — Fork of https://github.com/facebookresearch/fvcore with support for bitorch
• geoai-detectron2 — Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
• gft — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• gft-cpu — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• gluoncv — Gluon CV Toolkit
• granular-engine — Experiment tracking for GeoSpatial Machine Learning on GeoEngine
• graphgallery — A Gallery for Benchmarking Graph Neural Networks and Graph Adversarial Learning.
• graphgym — GraphGym: platform for designing and evaluating Graph Neural Networks (GNN)
• hi-ml-cpath — Microsoft Health Futures package for deep learning on histopathology images
• imgraph — Graph Neural Network Library Built On Top Of PyTorch and PyTorch Geometric
• imix — multimodal deep learning framework
• IOPaint — Image inpainting, outpainting tool powered by SOTA AI Model
• jahs-bench — The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
• jahs-bench-201 — The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
• klisch — A cli-integrate config system
• lama-cleaner — Image inpainting tool powered by SOTA AI Model
• lama-cleaner-custom — Image inpainting tool powered by SOTA AI Model
• lh-tool — A tool package
• mit-semseg — Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
• ml4a — A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• multiscalemnist — MNIST dataset for detection with multiple scales
• nnunetv2 — nnU-Net is a framework for out-of-the box image segmentation.
• obnb — A Python toolkit for biological network learning evaluation
• openprompt — An open source framework for prompt-learning.
• openvino-dev — OpenVINO(TM) Development Tools
• paddle-parakeet — Speech synthesis tools and models based on Paddlepaddle
• paddlespeech — Speech tools and models based on Paddlepaddle
• pai-easycv — EasyCV framework
• ParseAnno — Script for annotation data processing
• phobos — Training utility library and config manager for Granular Machine Vision research
• pixellib — PixelLib is a library used for easy implementation of semantic and instance segmentation of objects in images and videos with few lines of code.PixelLib makes it possible to train a custom segmentation model using few lines of code.PixelLib supports background editing of images and videos using few lines of code.
• pnno — Script for annotation data processing
• pycls — A codebase for image classification
• pyg-nightly — Graph Neural Network Library for PyTorch
• pykale — Knowledge-aware machine learning from multiple sources in Python
• pyppbox-torchreid — Customized Torchreid for pyppbox: Deep learning person re-identification.
• pyslowfast — PySlowFast Video Understanding
• pytext-nlp — pytorch modeling framework and model zoo for text models
• pytorch-flame — A library based on Ignite to help you train and evaluate PyTorch neural networks more easily.
• pywick — High-level batteries-included neural network training library for Pytorch
• qai-hub-models — Models optimized for export to run on device.
• quant2 — A collection of useful tools!
• recap — Reproducible configurations for any project
• sadtalker-z — sadtalker
• shapeaxi — Shape Analysis Exploration and Interpretability
• SiamBOMB — SiamBOMB: Siamese network using Background information for real-time Online Multi-species home-cage animal Behavioral analysis
• simpleir — A Simple Framework for Image Retrieval
• skoots — SKeletOn ObjecT Segmentation (SKOOTS)
• slowfast — SlowFast Video Understanding
• sohuprompt — A python lib for sohuprompt
• sportslabkit — A Python package for sports analytics.
• thsolver — Solver for PyTorch
• torch-geometric — Graph Neural Network Library for PyTorch
• torchal — A codebase for active learning built on top of pycls.
• torchline — A framework for easy to use Pytorch
• torkit — Pytorch Toolkit
• treetoolml — Python package for tree detection, segmentation and extraction of DBH
• tsts — toolset for time series forecasting
• wbia-orientation — wbia_orientation - A plug-in for detecting the orientation of various species in images for WBIA system
• whorl — no summary
• XBBO — A Python toolbox for performing Black-Box Optimization.
• yacs-adapter — An adapter for YACS to improve readability and usability
• yacs-stubgen — Generate stub file for yacs config.
• zcls — Object Classification Training/Inferring Framework
• zcls2 — More Faster Object Classification Training Framework