Reverse Dependencies of torchmetrics
The following projects have a declared dependency on torchmetrics:
- pansharpening — Deep learning for pansharpening in remote sensing
- PaoDing — An NLP-oriented PyTorch wrapper that makes your life easier.
- PaPie — A Framework for Joint Learning of Sequence Labeling Tasks, forked from Pie
- PeerAnnot — Crowdsourcing library
- perceiver-io — Perceiver IO
- phenobench — The official development kit of the PhenoBench dataset (www.phenobench.org).
- phenocam-snow — Pipeline for building deep learning models to classify PhenoCam images.
- pie-models — Model and Taskmodule implementations for PyTorch-IE
- pie-modules — Model and Taskmodule implementations for PyTorch-IE
- plamtral — A transfer learning library for pre-trained transformers.
- Poutyne — A simplified framework and utilities for PyTorch.
- project-lighter — YAML-based automated rapid prototyping framework for deep learning experiments
- proteinworkshop — no summary
- provision-ai — AI experiment provisioner
- pureml-llm — no summary
- pusion — Pusion (Python Universal Fusion) is a generic and automated framework for decision fusion written in Python.
- pyannote.audio — Neural building blocks for speaker diarization
- pycave — Traditional Machine Learning Models in PyTorch.
- pyg-nightly — Graph Neural Network Library for PyTorch
- pylaia — no summary
- pyluna-pathology — Transformation functions and services for multi-modal oncology data
- pynattas — Pynattas, a powerful open-source Python package that provides a comprehensive set of tools for model building and deployment
- pyrovelocity — A multivariate RNA Velocity model to estimate future cell states with uncertainty using probabilistic modeling with pyro.
- pytorch-accelerated — A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required.
- pytorch-adapt — Domain adaptation made easy. Fully featured, modular, and customizable.
- pytorch-eo — Deep Learning for Earth Observation
- pytorch-ie — State-of-the-art Information Extraction in PyTorch
- pytorch-lightning — PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
- pytorch-lightning-bolts — Deprecated in favor of Lightning Bolts - https://pypi.org/project/lightning-bolts
- pytorch-lightning-spells — Some useful plugins for PyTorch Lightning.
- pytorch-ood — A Library for Out-of-Distribution Detection with PyTorch
- pytorch-segmentation-models-trainer — Image segmentation models training of popular architectures.
- pytorch-tabular — A standard framework for using Deep Learning for tabular data
- pytorch-widedeep — Combine tabular data with text and images using Wide and Deep models in Pytorch
- PyTorchLab — Realize code in AI field with PyTorch and Lightning.
- pytouch — A PyTorch library for tactile touch sensing.
- quaterion — Similarity Learning fine-tuning framework
- qusi — no summary
- rai-toolbox — PyTorch-centric library for evaluating and enhancing the robustness of AI technologies
- raitracker — Responsible AI Toolbox Tracker
- recstudio — A modular, efficient, unified, and comprehensive recommendation library based on PyTorch.
- renate — Library for Continual Learning for Practitioners
- responsibleai-vision — SDK API to assess image Machine Learning models.
- ride — Training wheels, side rails, and helicopter parent for your Deep Learning projects using Pytorch
- robust-deep-learning — The Robust Deep Learning Library
- root-tissue-seg-package — An mlf-core prediction package for root tissue segmentation.
- run-torch-model — Package for training and evaluating neural network models made using pytorch
- satellighte — PyTorch Lightning Implementations of Recent Satellite Image Classification !
- scButterfly — A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
- scenedataset — PyTorch dataset which uses PySceneDetect to split videos into scenes
- schnetpack — SchNetPack - Deep Neural Networks for Atomistic Systems
- SciAssist — A toolkit for Scientific Document Processing
- scsims — Scalable, Interpretable Deep Learning for Single-Cell RNA-seq Classification
- scvi-tools — Deep probabilistic analysis of single-cell omics data.
- sdo-cli — An ML practitioner's utility for working with SDO data.
- secretflow — SecretFlow
- segmentools — Segmentools provide low and high levels utilities to train, evaluate and deploy models. Low levels classes and functions are usefull develop new method while keeping data formats uniforms and high level classes allow to write scripts in a very concise and understable way.
- selfclean — A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
- senseppi — SENSE-PPI: Sequence-based EvolutioNary ScalE Protein-Protein Interaction prediction
- sequel-core — A Continual Learning Framework for both Jax and PyTorch.
- sfaira — sfaira is a model and a data repository for single-cell data in a single python package.
- shape-registration — This is a super duper package
- shapeaxi — Shape Analysis Exploration and Interpretability
- sheeprl — High-quality, single file and distributed implementation of Deep Reinforcement Learning algorithms with production-friendly features
- sihl — Simple Image Heads and Layers
- singd — KFAC-like Structured Inverse-Free Natural Gradient Descent
- SLP — Speech, Language and Multimodal Processing models and utilities in PyTorch
- snnmetrics — Metrics for spiking neural networks.
- SolarNet-Lib — Deep Learning for Solar Physics Prediction
- solo-learn — no summary
- sotai — A Python Library For Calibrated Modeling Built With PyTorch
- splat-trainer — Gaussian Splatting scene reconstruction with taichi-splatting
- sportsml — ML for sports
- spotGUI — spotgui - GUI for the Sequential Parameter Optimization in Python
- spotPython — spotpython - Sequential Parameter Optimization in Python
- spotRiver — spotriver - Sequential Parameter Optimization Interface to River
- stable-audio-tools — Training and inference tools for generative audio models from Stability AI
- stable-diffusion-sdkit — High-Resolution Image Synthesis with Latent Diffusion Models. This is a wrapper around the original repo, to allow installing via pip.
- stuned — Utility code from STAI (https://scalabletrustworthyai.github.io/)
- super-gradients — SuperGradients
- svc-toolkit — A self-contained singing voice conversion application using the so-vits-svc architecture, with Deep U-Net model for vocal separation feature and easy to use GUI.
- tensorneko — Tensor Neural Engine Kompanion. An util library based on PyTorch and PyTorch Lightning.
- terratorch — TerraTorch - A model training toolkit for geospatial tasks
- testgailbot002 — GailBot API
- testgailbotapi — GailBot Test API
- testgailbotapi001 — GailBot Test API
- ThetaSynthesis — no summary
- thunder-speech — A Hackable speech recognition library
- time-interpret — Model interpretability library for PyTorch with a focus on time series.
- tiramisu-brulee — A 2D and 3D PyTorch implementation of the Tiramisu CNN
- tkitSeq2seq — Terry toolkit tkitSeq2seq
- tknlp — no summary
- torch-geometric — Graph Neural Network Library for PyTorch
- torch-rs — PyTorch Library for Remote Sensing
- torch-spatiotemporal — A PyTorch library for spatiotemporal data processing
- torchbricks — Decoupled and modular approach to building multi-task ML models using a single model recipe for all model stages
- torchcell — An example package
- torchcross — Easy-to-use PyTorch library for cross-domain learning, few-shot learning and meta-learning
- torchfitter — Trainer to optimize PyTorch models
- torchflare — TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.