Reverse Dependencies of torch-optimizer

The following projects have a declared dependency on torch-optimizer:

• asteroid — PyTorch-based audio source separation toolkit
• bioencoder — A metric learning toolkit
• bitfount — Machine Learning and Federated Learning Library.
• cellpose-omni — cellpose fork developed for omnipose
• cellpose-omni-acdc — cellpose fork developed for omnipose
• ColorTransferLib — This library provides color and tyle transfer algorithms which were published in scientific papers. Additionall a set of IQA metrics are available.
• composer — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• crank-vc — Non-parallel Voice Conversion called crank
• deep-daze — Deep Daze
• eir-dl — Deep learning framework for genomics and multi-modal data
• enot-autodl — AutoDL framework for neural network compression & acceleration
• espnet — ESPnet: end-to-end speech processing toolkit
• funasr — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
• funcodec — FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
• geowatch — no summary
• high-order-implicit-representation — no summary
• igfold — no summary
• learnware — The learnware package supports the submission, usability testing, organization, identification, deployment, and reuse of learnware.
• lightwood — Lightwood is Legos for Machine Learning.
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• netharn — Train and deploy pytorch models
• nvidia-modulus.sym — A deep learning framework for AI-driven multi-physics systems
• perceiver-io — Perceiver IO
• plato-learn — Packaged version of the Plato framework for federated learning research
• protoattend — Protoattend library for interpretable machine learning
• pytorch-tabular — A standard framework for using Deep Learning for tabular data
• RABiTPy — RABiTPy: A package to track the movement of a subject in a video file.
• root-tissue-seg-package — An mlf-core prediction package for root tissue segmentation.
• satflow — Satellite Optical Flow
• sequifier — Train a transformer model with the command line
• SPIKES-TO-US-IN — SKKU ISRI Pose Estimation
• stVAE — Style transfer variational autoencoder
• tailors — no summary
• torch-ecg — A Deep Learning Framework for ECG Processing Tasks Based on PyTorch
• torch-yolo3 — YOLO v3 in PyTorch