Patternex Feed
PatternEx domain feed: malicious domains detected with AI
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Transferlearning | 12,494 | 5 months ago | 14 | mit | Python | |||||
| Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 | ||||||||||
| Dassl.pytorch | 681 | 2 years ago | 9 | mit | Python | |||||
| A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning. | ||||||||||
| Deep Transfer Learning | 517 | 2 years ago | mit | Python | ||||||
| A collection of implementations of deep domain adaptation algorithms | ||||||||||
| Monk_v1 | 503 | 2 years ago | 20 | July 25, 2020 | 33 | apache-2.0 | Jupyter Notebook | |||
| Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision. | ||||||||||
| Cdqa | 418 | 4 years ago | 38 | December 02, 2019 | 51 | apache-2.0 | Python | |||
| ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System. | ||||||||||
| Bpycv | 401 | 10 months ago | 48 | August 25, 2023 | 7 | mit | Python | |||
| Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code) | ||||||||||
| Clearml Server | 338 | 5 months ago | 89 | other | Python | |||||
| ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management | ||||||||||
| Salad | 266 | 3 years ago | 31 | mpl-2.0 | HTML | |||||
| A toolbox for domain adaptation and semi-supervised learning. Contributions welcome. | ||||||||||
| Pytorch Adda | 264 | 6 years ago | 21 | mit | Python | |||||
| A PyTorch implementation for Adversarial Discriminative Domain Adaptation | ||||||||||
| Deepcoral | 150 | 6 years ago | 5 | Python | ||||||
| A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016 | ||||||||||
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