# curiousily/Getting-Things-Done-with-Pytorch

<https://repo.masters-masters.com/en/repos/curiousily/Getting-Things-Done-with-Pytorch>

[Home](https://repo.masters-masters.com/en) › [curiousily](https://repo.masters-masters.com/en/owners/curiousily) › [Getting-Things-Done-with-Pytorch](https://repo.masters-masters.com/en/repos/curiousily/Getting-Things-Done-with-Pytorch)

curiousily/Getting-Things-Done-with-Pytorch has 2,515 stars on GitHub. Its RepoMasters card: RC tier. Jupyter Notebook tutorials on solving real-world…

| Field | Value |
| --- | --- |
| Owner | [curiousily](https://repo.masters-masters.com/en/owners/curiousily) |
| Stars | 2,515 |
| Forks | 640 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | pytorch, deep-learning, machine-learning, computer-vision, object-detection, face-detection, face-recognition, time-series, time-series-forecasting, coronavirus |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [curiousily/Getting-Things-Done-with-Pytorch](https://github.com/curiousily/Getting-Things-Done-with-Pytorch) |

## Repository

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 C…

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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