Reverse Dependencies of pytorch-lightning

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

• a2rl — Make recommendations for sequential decision problems using offline data
• abnativ — AbNatiV: a VQ-VAE-based assessment of the nativeness of antibodies.
• acids-msprior — MSPRIOR: A multiscale prior model for realtime temporal learning
• acids-rave — RAVE: a Realtime Audio Variatione autoEncoder
• acoustic-odometry — Acoustic Odometry library
• agl-predict-endo-frame — Multiclass prediction functionality for frames of endoscopy videos
• ai4scr-scQUEST — scQUEST package
• aideml — Autonomous AI for Data Science and Machine Learning
• aihandlerwindows — AI Handler: An engine which wraps certain huggingface models
• aitextgenAws — Fork of aitextgen to set parallel computing settings to be able to run on AWS sagemaker.
• aixd — AI-eXtended Design (AIXD)
• alcokit — package to do MIR and learn generative models on top of librosa and pytorch
• arlatentsde — Amortized Reparametrization for Continuous Time Autoencoders (ARCTA)
• armory-testbed — Adversarial Robustness Test Bed
• Artist-Engineering-Geek — A bunch of GANs and data downloaders to make a custom AI artist
• ast-slizovskaia — Test exercise AST model on the ESC-50 dataset
• asteroid — PyTorch-based audio source separation toolkit
• asto — asto
• astrochem-embedding — Language models for astrochemistry
• atommic — Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC)
• audiossl — no summary
• auto1111sdk — SDK for Automatic 1111.
• autoalbument — AutoML for image augmentation
• autodistill-detr — DETR module for use with Autodistill
• autogluon.timeseries — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.timeseries — AutoML for Image, Text, and Tabular Data
• autograd-lib — Library to simplify autograd computations in PyTorch
• ax-platform — Adaptive Experimentation
• AxlNLP — my nlp tools
• backprop — Backprop
• benchformer — Transformers Language Models benchmarking tool
• benchscofi — Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.
• bertserini-on-telegram — A library, based on PyTorch, that implements bertserini code.
• bigdl-nano — High-performance scalable acceleration components for intel.
• bio-transformers — Wrapper on top of ESM/Protbert model in order to easily work with protein embedding
• biome-text — Biome-text is a light-weight open source Natural Language Processing toolbox built with AllenNLP
• biopytorch — PyTorch implementation of Hebbian "Bio-Learning" convolutional layers
• bitfount — Machine Learning and Federated Learning Library.
• bitorch — A package for building and training quantized and binary neural networks with Pytorch
• blinklinmult — BlinkLinMulT: Transformer-based Eye Blink Detection.
• bliss-deblender — Bayesian Light Source Separator
• bliss-toolkit — Bayesian Light Source Separator
• bob.bio.face — Tools for running face recognition experiments
• borch — Probabilistic programming using pytorch.
• brainways-reg-model — Brainways Registration Model
• breakhis-gradcam — Classification of the BreaKHis dataset with GradCAM support
• bytesep — Music source separation
• bytesep-fancybit — Music source separation fancybit 2024
• candlefl — A Python library for rapid prototyping, experimenting, and logging of federated learning using state-of-the-art models and datasets. Built using PyTorch and PyTorch Lightning.
• candlelight — no summary
• causica — no summary
• ccic — Chalmers Cloud Ice Climatology
• celldancer — Study RNA velocity through neural network.
• celldetection — Cell Detection with PyTorch.
• chady — A package for ML libraries
• chebai — no summary
• chemxor — Privacy Preserving AI/ML for Drug Discovery
• chirho — Causal reasoning
• chitra — A multi functional library for full stack Deep Learning.
• chronos_ai — no summary
• cinet — Scikit-Learn interface for CINET PyTorch siamese neural network
• circa-clue — Causal Inference-based Root Cause Analysis
• classy-core — A powerful tool to train and use your classification models.
• climate-learn — ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
• clip-text-decoder — Generate text captions for images from their CLIP embeddings.
• ClipCap — Using pretrained encoder and language models to generate captions from multimedia inputs.
• ClipExtractor — Art Image Captioning Extractor by using CLIP Models
• cloths-segmentation — High quality model for cloths segmentation.
• cloudsen12 — A Python package for use cloudsen12
• cluster-depp-test — DEPP: Deep Learning Enables Extending Species Trees using Single Genes
• cnocr — Python3 package for Chinese/English OCR, with small pretrained models
• cnstd — Python3 package for Chinese/English Scene Text Detection (STD), Mathematical Formula Detection (MFD), and Layout Analysis, with free pretrained models
• code2seq — Set of pytorch modules and utils to train code2seq model
• codeflare-torchx — TorchX SDK and Components
• cogexquestgen — Question generator from any text
• Collector — Visym Collector
• collie — A PyTorch library for preparing, training, and evaluating deep learning hybrid recommender systems.
• collie-recs — A PyTorch library for preparing, training, and evaluating deep learning hybrid recommender systems.
• combustion — Helpers for PyTorch model training/testing
• comfylib — Stable Diffusion library, based on the implementation in ComfyUI
• commode-utils — Set of useful functions and modules for Code Modeling
• compromise-marian — Marian model but with two decoders
• conplex-dti — Adapting protein language models and contrastive learning for DTI prediction.
• consistency — Consistency Model - Pytorch
• continual-inference — A Python library for Continual Inference Networks in PyTorch
• controlnet — ControlNet - Adding Conditional Control to Text-to-Image Diffusion Models
• convml-tt — Neural Network based study of convective organisation
• convnextpl — An implementation of the ConvNeXt architecture built on the PyTorch-Lightning API
• cookieLLMTest — LLM Processing test
• cookienlp — copy and test from ratsgo/ratsnlp (tools for Natural Language Processing)
• coolML — Cool ML is a machine learning workflow developed to optimize thermionic double-assymmetric barrier heterostructures based on semiconductors
• coreml — Generic Framework for ML projects
• corigami — C.Origami: cell type-specific chromatin structure prediction.
• corigami-demo — C.Origami: cell type-specific chromatin structure prediction.
• counterprop-prototorch — Counter Propagation based on Prototorch.
• courtvision — no summary
• cratergan — no summary
• cream-python — Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models
• cross-framework-hpo — Hyperparameter Search tools in order to quantify differences between deep learning frameworks
• CSNet — short description