Reverse Dependencies of lightning-utilities

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

• anomalib — anomalib - Anomaly Detection Library
• autoplex — Automated machine-learned Potential Landscape explorer
• demonstrable-whisperx-service — A standalone service for transcribing audio files using WhisperX
• dgenerate — Batch image generation and manipulation tool supporting Stable Diffusion and related techniques / algorithms, with support for video and animated image processing.
• fasr — FASR: Fast Automatic Speech Recognition
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• gdp-time-series — no summary
• 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-data — The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
• lightning-fabric — no summary
• lightning-flash — Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes.
• lightning-graphcore — Lightning support for GraphCore accelerators
• lightning-habana — Lightning support for Intel Habana accelerators
• lightning-lite — no summary
• lightning-sdk — SDK to develop using Lightning AI Studios
• lightning-thunder — Lightning Thunder project.
• litdata — The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
• litmodels — Lightning AI Model hub.
• medical-data — Helpful data utilities for deep learning in medical image analysis/medical image computing
• neuroflex — An advanced neural network framework with interpretability, generalization, robustness, and fairness features
• nlp-data — 普强内部NLP数据存储分享处理工具
• project-lighter — YAML-based automated rapid prototyping framework for deep learning experiments
• pureml-llm — no summary
• pytorch-lightning — PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
• rhizonet-package — Python package for RhizoNet-package
• rising — no summary
• scMIDAS — A torch-based integration method for single-cell multi-omic data.
• scsims — Scalable, Interpretable Deep Learning for Single-Cell RNA-seq Classification
• shapeaxi — Shape Analysis Exploration and Interpretability
• sheeprl — High-quality, single file and distributed implementation of Deep Reinforcement Learning algorithms with production-friendly features
• sota-asr — 基于funasr的语音识别服务
• testgailbot002 — GailBot API
• testgailbotapi — GailBot Test API
• testgailbotapi001 — GailBot Test API
• torchmetrics — PyTorch native Metrics