curiousily/Getting-Things-Done-with-Pytorch
A free book and set of Jupyter Notebook tutorials teaching how to solve real-world ML/DL problems using PyTorch.
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The repository provides interactive tutorials covering multiple ML domains: computer vision tasks (face detection with Detectron2, object detection with YOLO v5), NLP tasks (sentiment analysis with BERT and Transformers), and time series problems (forecasting with LSTMs, anomaly detection with LSTM autoencoders). Each topic includes runnable Colab notebooks and blog post walkthroughs. The content progresses from basics like building a first neural network to advanced techniques like transfer learning.
Frequently asked
- What is curiousily/Getting-Things-Done-with-Pytorch?
- A free book and set of Jupyter Notebook tutorials teaching how to solve real-world ML/DL problems using PyTorch.
- Is Getting-Things-Done-with-Pytorch open source?
- Yes — curiousily/Getting-Things-Done-with-Pytorch is open source, released under the Apache-2.0 license.
- What language is Getting-Things-Done-with-Pytorch written in?
- curiousily/Getting-Things-Done-with-Pytorch is primarily written in Jupyter Notebook.
- How popular is Getting-Things-Done-with-Pytorch?
- curiousily/Getting-Things-Done-with-Pytorch has 2.5k stars on GitHub.
- Where can I find Getting-Things-Done-with-Pytorch?
- curiousily/Getting-Things-Done-with-Pytorch is on GitHub at https://github.com/curiousily/Getting-Things-Done-with-Pytorch.