proxy.golang.org : github.com/yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Registry
-
Source
- Documentation
- JSON
- codemeta.json
purl: pkg:golang/github.com/yoshitomo-matsubara/torchdistill
Keywords:
amazon-sagemaker-lab
, cifar10
, cifar100
, coco
, colab-notebook
, glue
, google-colab
, image-classification
, imagenet
, knowledge-distillation
, natural-language-processing
, nlp
, object-detection
, pascal-voc
, pytorch
, pytorch-ecosystem
, semantic-segmentation
, text-classification
, transformer
License: MIT
Latest release: 6 months ago
First release: almost 5 years ago
Stars: 1,562 on GitHub
Forks: 136 on GitHub
Total Commits: 1193
Committers: 6
Average commits per author: 198.833
Development Distribution Score (DDS): 0.006
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 14 days ago