| tensorflow/tensor2tensor |
13,701 |
|
82 |
8 |
almost 3 years ago |
79 |
June 17, 2020 |
589 |
apache-2.0 |
Python |
| Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. |
| opencv/cvat |
10,831 |
|
0 |
3 |
about 2 years ago |
23 |
November 27, 2023 |
504 |
mit |
TypeScript |
| Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. |
| moskomule/senet.pytorch |
1,494 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch implementation of SENet |
| openai/image-gpt |
1,119 |
|
0 |
0 |
over 5 years ago |
0 |
|
9 |
other |
Python |
| NVlabs/noise2noise |
1,094 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
other |
Python |
| Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper |
| wyharveychen/CloserLookFewShot |
901 |
|
0 |
0 |
over 4 years ago |
0 |
|
52 |
other |
Python |
| source code to ICLR'19, 'A Closer Look at Few-shot Classification' |
| Lyken17/Efficient-PyTorch |
769 |
|
0 |
0 |
almost 5 years ago |
0 |
|
6 |
|
Python |
| My best practice of training large dataset using PyTorch. |
| AntreasAntoniou/HowToTrainYourMAMLPytorch |
707 |
|
0 |
0 |
over 2 years ago |
0 |
|
27 |
other |
Python |
| The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch. |
| ducha-aiki/caffenet-benchmark |
665 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Evaluation of the CNN design choices performance on ImageNet-2012. |
| google-research/fixmatch |
550 |
|
0 |
0 |
over 5 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| A simple method to perform semi-supervised learning with limited data. |
