Reverse Dependencies of pytorch-lightning

The following projects have a declared dependency on pytorch-lightning:

• kogito — A Python NLP Commonsense Knowledge Inference Toolkit
• kumar — `kumar` is a Python package that provides two high-level features.
• kwcoco-dataloader — The kwcoco_dataloader module
• labeled-contrastive-framework — Framework for training contrastive models with labeled data using arcface loss.
• langmo — toolbox for various tasks in the area of vector space models of computational linguistic
• LARRY-dataset — LARRY Dataset: lineage and RNA recovery
• latentshift — A method to generate counterfactuals
• leafmap — A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
• leanai — A library to help writing ai functions with ease.
• lens-metric — A learnable evaluation metric for text simplification
• lfprop — A package for gradient-free neural network training using LFP
• libcom — Image Composition Toolbox
• light-side — PyTorch Lightning Implementations of Recent Low-Light Image Enhancement !
• lighter — YAML-based automated rapid prototyping framework for deep learning experiments
• lightkit — Utilities for PyTorch and PyTorch Lightning.
• lightly — A deep learning package for self-supervised learning
• lightly-train — Train models with self-supervised learning in a single command
• Lightning — The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
• lightning-app — Use Lightning Apps to build everything from production-ready, multi-cloud ML systems to simple research demos.
• lightning-bolts — Lightning Bolts is a community contribution for ML researchers.
• lightning-diffeqs — PyTorch Lightning DiffEqs
• lightning-factory — Quickly, with very little code, create PyTorch Lightning models
• lightning-flash — Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes.
• lightning-habana — Lightning support for Intel Habana accelerators
• lightning-Horovod — PyTorch Lightning Strategy for Horovod.
• lightning-hpo — Lightning HPO
• lightning-nets — An extension to pytorch-lightning that provides trainers for generative adversarial methods
• lightning-training-studio — Lightning HPO
• lightning-transformers — Lightning Transformers.
• lightning-tutorial — pytorch-lightning tutorial
• lightningnbeats — A Pytorch Lightning implementation of the N-BEATS algorithm with some extended functionality.
• lightyear — lightyear
• liltab — Package for meta-learning across data with varying attributes spaces.
• lit-classifier — Wraper for pytorch lighining classification
• lit-saint — Pytorch Lightning implementation of SAINT Model
• litds — litds
• litie — Pytorch-lightning Code Blocks for Information Extraction
• litmnist — PyTorch Lightning demo on the MNIST dataset
• liver-ct-segmentation-package — Prediction package for U-Net models trained on the LiTS dataset.
• LOCATE-model — This code is attached to the paper "Microbiome-metabolome interactions predict host phenotype".
• logitorch — LogiTorch is a pytorch-based library for logical reasoning in natural language
• longeval — Prepare your summarization data in a format compatible with the longeval guidelines for human evaluation.
• loss-landscape-anim — Animate the optimization trajectory of neural networks
• lpcML — LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells
• lra-benchmark — A library for benchmarking lightweight Vision Transformers following the LRA methodology
• lsmetrics — Latent Space Metrics
• ltp-core — Language Technology Platform
• lung-annotator — no summary
• machin — Reinforcement learning library
• make-us-rich — Cryptocurrency forecasting 📈 training and serving models made automatic
• malpolon — Malpolon v2.1.2
• mantisshrimp — Object detection framework
• marinedebrisdetector — A detector of marine debris with Sentinel-2 scenes
• markermap — Marker selection library for single-cell RNA-seq data
• mask-rcnn-documents — no summary
• mask2former — Mask2Former
• massspecgym — MassSpecGym: A benchmark for the discovery and identification of molecules
• maverick-coref-de — co-reference resolution for German using the Maverick system
• mayavoz — Deep learning toolkit for speech enhancement
• mb-pytorch-lightning — Production Planing functions package
• mdade — 'mdade' offers a lightweight PyTorch toolbox for Masked Autoregressive models
• medical-data — Helpful data utilities for deep learning in medical image analysis/medical image computing
• medical-dl-utils — Helpful utilities for deep learning in medical image analysis/medical image computing
• medical-shape-building — This is a super duper package
• membrain-seg — membrane segmentation in 3D for cryo-ET
• metaforecast — Meta-learning and Data-centric Forecasting
• metnet — PyTorch MetNet Implementation
• metvae — Metabolomics Variational Autoencoders.
• micro-trainer-transformers — Micro version train modules Transformers trainer....
• mim-nlp — A Python package with ready-to-use models for various NLP tasks and text preprocessing utilities. The implementation allows fine-tuning.
• mimikit — Python package for generating audio with neural networks
• mini-rec-sys — Toolkit to train and evaluate models for search and recommendations.
• MIPMLP — no summary
• misato-dataset — UNOFFICIAL Misato dataset pypi package. For instructions on dataset download see official GitHub page (https://github.com/t7morgen/misato-dataset).
• MiSeCom — Detect if the English has missing sentence components such as Subject, Verb, Object
• mitorch — MiTorch training framework
• mixdq-extension — no summary
• 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
• ml4floods — Machine learning models for end-to-end flood extent segmentation.
• mlfompy — MLFoMPy is an effective tool that extracts the main figures of merit (FoM) of a semiconductors IV curve
• mltype — Command line tool for improving typing skills
• mmsegmentation — Open MMLab Semantic Segmentation Toolbox and Benchmark
• mmsegmentation-building — Open MMLab Semantic Segmentation Toolbox and Benchmark, forked for pleiade RGB image segmentation
• moai-mdk — moai: Accelerated, Flexible, Modular, Reproducible, Insightful AI
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• modlee — modlee package
• mofreinforce — mofreinforce
• moftransformer — moftransformer
• morphospaces — a library for creating and exploring morphospaces.
• mridc — Data Consistency for Magnetic Resonance Imaging
• MuarAugment — State-of-the-art data augmentation search algorithms in PyTorch
• multi-task-utils — multi-task training utils for pytorch, pytorch-lightning
• MultiEL — Multilingual Entity Linking model by BELA model
• multiplex-imaging-pipeline — A Python library for multiplex imaging analysis
• multiviewae — A library for running multiview autoencoder models
• mxm-scaffold — Client library Created by the Merantix Momentum AI Platform Team
• my-recommending — no summary
• nafes — A python project for prototype-based feature selection
• nam — Neural Additive Models (Google Research)
• namazu — NaMAZU: Pretty Usefull Library