Reverse Dependencies of pytorch-lightning
The following projects have a declared dependency on pytorch-lightning:
- torchx-nightly — TorchX SDK and Components
- towbintools — All the tools used by the Towbin Lab !
- tradeX — Machine learning based crypto currency price prediction
- traintrack — A simple helper to run pipelines of PytorchLightning models
- trame-sandtank-ml — Interactive application blending ParFlow execution and AI models for validation
- trame-sandtank-xai — AI/XAI exploration in the context of ParFlow simulation code
- transcript-transformer — Transformers for Transcripts
- transformers-collection — A collection of transformer models built using huggingface for various tasks.
- trecover — A python library for training a Transformer neural network to solve the Running Key Cipher, widely known in the field of cryptography.
- ts3l — A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
- TSFEDL — Time Series Spatio-Temporal Feature Extraction using Deep Learning
- ttscube — Text-to-speech synthesis engine, based on end-to-end GAN training. Features: multilanguage, multispeaker, realtime CPU synthesis
- two-to-tango — Tango automatically detects duplicate bugs that are captured in bug reports that contain videos detailing the bug
- u8darts — A python library for easy manipulation and forecasting of time series.
- ukw-ml-tools — Frequently used ML utilities.
- unbabel-comet — High-quality Machine Translation Evaluation
- uncertainty-estimation-models — This is the main library for the uncertainty estimation project.
- unKR — An Open Source Library for uncertain Knowledge Reasoning
- unscribe — A straightforward text remover and/or scrambler using LaMa inpainting and CRAFT text-detection
- utmos — UT-Sarulab MOS prediction system using SSL models
- utrc — util torch
- vae-anomaly-detection — Pytorch/TF1 implementation of Variational AutoEncoder for anomaly detection following the paper "Variational Autoencoder based Anomaly Detection using Reconstruction Probability by Jinwon An, Sungzoon Cho"
- vistec-ser — Speech Emotion Recognition models and training using PyTorch
- visym-collector — Visym Collector
- vocos — Fourier-based neural vocoder for high-quality audio synthesis
- voice100 — Voice100 is a small TTS for English and Japanese.
- vqvae — PyTorch implementation of VQ-VAE
- wildtime — WILDS distribution shift benchmark
- xtuning — Fine-tuning, evaluation and data generation for LLMs
- xturing — Fine-tuning, evaluation and data generation for LLMs
- yaib — Yet Another ICU Benchmark is a holistic framework for the automation of the development of clinical prediction models on ICU data. Users can create custom datasets, cohorts, prediction tasks, endpoints, and models.
- yonlu — A deep learning based natural language understanding module
- yoyodyne — Small-vocabulary neural sequence-to-sequence models
- ysda — no summary
- zeldarose — Train transformer-based models