Imagenet32_scripts
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensor2tensor | 13,701 |  | 82 | 8 | a year 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. | ||||||||||
| Cvat | 11,169 |  | 3 | a month 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. | ||||||||||
| Senet.pytorch | 1,494 | 3 years ago | mit | Python | ||||||
| PyTorch implementation of SENet | ||||||||||
| Image Gpt | 1,119 | 3 years ago | 9 | other | Python | |||||
| Noise2noise | 1,094 | 2 years ago | 5 | other | Python | |||||
| Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper | ||||||||||
| Closerlookfewshot | 901 | 2 years ago | 52 | other | Python | |||||
| source code to ICLR'19, 'A Closer Look at Few-shot Classification' | ||||||||||
| Efficient Pytorch | 769 | 3 years ago | 6 | Python | ||||||
| My best practice of training large dataset using PyTorch. | ||||||||||
| Howtotrainyourmamlpytorch | 707 | 4 months ago | 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. | ||||||||||
| Caffenet Benchmark | 665 | 7 years ago | 1 | Jupyter Notebook | ||||||
| Evaluation of the CNN design choices performance on ImageNet-2012. | ||||||||||
| Fixmatch | 550 | 3 years ago | 6 | apache-2.0 | Python | |||||
| A simple method to perform semi-supervised learning with limited data. | ||||||||||
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