Source Model Selection
A method of selecting the source model for transfer learning without using the source data
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Flow Forecast | 1,759 | 4 months ago | 101 | gpl-3.0 | Python | |||||
| Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ||||||||||
| Getting Things Done With Pytorch | 873 | 3 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT. | ||||||||||
| Source Model Selection | 5 | 3 years ago | Jupyter Notebook | |||||||
| A method of selecting the source model for transfer learning without using the source data | ||||||||||
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