Getting-Things-Done-with-Pytorch
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
Learn to solve real-world problems using machine learning with step-by-step Jupyter Notebook tutorials.
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Free · no card · unsubscribe anytimeJupyter 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
Getting-Things-Done-with-Pytorch has 2.5k stars on GitHub. It has been forked 643 times. Getting-Things-Done-with-Pytorch is written mainly in Jupyter Notebook. It has been in active development since 2020. Getting-Things-Done-with-Pytorch is available under the Apache-2.0 license. Its main topics are anomaly-detection, bert, computer-vision, coronavirus.
What is Getting-Things-Done-with-Pytorch?
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
Is Getting-Things-Done-with-Pytorch open source?
Getting-Things-Done-with-Pytorch is an open-source project. It is released under the Apache-2.0 license.
Is Getting-Things-Done-with-Pytorch free?
Yes. Getting-Things-Done-with-Pytorch is free and open source — you can use, modify and self-host it.
What license does Getting-Things-Done-with-Pytorch use?
Getting-Things-Done-with-Pytorch is available under the Apache-2.0 license.
What language is Getting-Things-Done-with-Pytorch written in?
Getting-Things-Done-with-Pytorch is written mainly in Jupyter Notebook.
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