Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Textattack | 2,597 | 5 | 4 months ago | 46 | September 11, 2023 | 52 | mit | Python | ||
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/ | ||||||||||
Fastdup | 1,313 | 3 months ago | 284 | December 01, 2023 | 23 | other | Python | |||
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale. | ||||||||||
Deepconvsep | 397 | 4 years ago | 3 | agpl-3.0 | Python | |||||
Deep Convolutional Neural Networks for Musical Source Separation | ||||||||||
Dagan | 342 | 2 years ago | 16 | mit | Python | |||||
DAGAN: Data Augmentation Generative Adversarial Networks | ||||||||||
Cutblur | 335 | 2 years ago | 10 | mit | Jupyter Notebook | |||||
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020) | ||||||||||
Copy Paste Aug | 306 | 2 years ago | 6 | mit | Jupyter Notebook | |||||
Copy-paste augmentation for segmentation and detection tasks | ||||||||||
Ghost Free Shadow Removal | 260 | 4 months ago | 13 | Jupyter Notebook | ||||||
[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN | ||||||||||
Evoskeleton | 198 | 3 years ago | 1 | mit | Python | |||||
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data" | ||||||||||
Dataset_loaders | 177 | 6 years ago | 12 | gpl-3.0 | Python | |||||
A collection of dataset loaders | ||||||||||
Chatgpt Retrievalqa | 130 | 3 months ago | Jupyter Notebook | |||||||
A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses. |