Lightning Colossalai
Large Scale Distributed Model Training strategy with Colossal AI and Lightning AI
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| So Vits Svc Fork | 8,080 | 4 months ago | 146 | November 21, 2023 | 134 | other | Python | |||
| so-vits-svc fork with realtime support, improved interface and more features. | ||||||||||
| Icevision | 823 |  | 6 | a year ago | 41 | February 10, 2022 | 85 | apache-2.0 | Python | |
| An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come | ||||||||||
| Yolort | 705 | 4 months ago | 41 | gpl-3.0 | Python | |||||
| yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn. | ||||||||||
| Voicefilter | 640 | 4 years ago | 8 | Python | ||||||
| Unofficial PyTorch implementation of Google AI's VoiceFilter system | ||||||||||
| Torchbearer | 629 |  | 3 | 1 | 7 months ago | 26 | December 01, 2023 | 10 | mit | Python |
| torchbearer: A model fitting library for PyTorch | ||||||||||
| Norse | 580 | 5 months ago | 11 | January 20, 2023 | 56 | lgpl-3.0 | Python | |||
| Deep learning with spiking neural networks (SNNs) in PyTorch. | ||||||||||
| Fmix | 254 | 3 years ago | 3 | mit | Jupyter Notebook | |||||
| Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation' | ||||||||||
| Timeseries_fastai | 224 | 3 years ago | 5 | December 07, 2020 | apache-2.0 | Jupyter Notebook | ||||
| fastai V2 implementation of Timeseries classification papers. | ||||||||||
| Pytorch_tempest | 193 | 8 months ago | 5 | mit | Python | |||||
| My repo for training neural nets using pytorch-lightning and hydra | ||||||||||
| Lightning Text Classification | 192 | a year ago | 2 | Python | ||||||
| Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP. | ||||||||||
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