Useb
Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Adbench | 609 | 9 months ago | 16 | August 02, 2023 | 9 | bsd-2-clause | Python | |||
| Official Implement of "ADBench: Anomaly Detection Benchmark". | ||||||||||
| Paddlefleetx | 421 | 23 days ago | 9 | October 21, 2020 | 113 | apache-2.0 | Python | |||
| 飞桨大模型开发套件，提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。 | ||||||||||
| Awesome State Of Depth Completion | 282 | 9 months ago | ||||||||
| Current state of supervised and unsupervised depth completion methods | ||||||||||
| Deep Unsupervised Domain Adaptation | 20 | 3 years ago | 1 | Python | ||||||
| Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31. | ||||||||||
| Useb | 12 | 2 years ago | 1 | apache-2.0 | Python | |||||
| Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979. | ||||||||||
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