| lucidrains/byol-pytorch |
1,630 |
|
0 |
1 |
over 2 years ago |
28 |
November 16, 2023 |
40 |
mit |
Python |
| Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch |
| AgaMiko/data-augmentation-review |
1,499 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others. |
| makcedward/nlp |
734 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
|
Python |
| :memo: This repository recorded my NLP journey. |
| ildoonet/pytorch-randaugment |
557 |
|
0 |
0 |
about 3 years ago |
0 |
|
19 |
mit |
Python |
| Unofficial PyTorch Reimplementation of RandAugment. |
| lorenmt/mtan |
470 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019]. |
| openai/distribution_augmentation |
103 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
mit |
Python |
| Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020. |
| bknyaz/sgg |
100 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
other |
Jupyter Notebook |
| Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization. |
| hoya012/carrier-of-tricks-for-classification-pytorch |
93 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
mit |
Python |
| carrier of tricks for image classification tutorials using pytorch. |
| g-benton/learning-invariances |
85 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
bsd-2-clause |
Jupyter Notebook |
| Codebase for Learning Invariances in Neural Networks |
| ricvolpi/generalize-unseen-domains |
81 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
mit |
Python |
| Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018 |
