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https://github.com/curiousily/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 Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
https://github.com/curiousily/getting-things-done-with-pytorch
anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo
Last synced: about 8 hours ago
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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 BER
- Host: GitHub
- URL: https://github.com/curiousily/getting-things-done-with-pytorch
- Owner: curiousily
- License: apache-2.0
- Created: 2020-01-31T08:02:53.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-06-30T16:28:31.000Z (3 months ago)
- Last Synced: 2024-09-22T01:33:23.598Z (3 days ago)
- Topics: anomaly-detection, bert, computer-vision, coronavirus, deep-learning, face-detection, face-recognition, lstm, machine-learning, nlp, object-detection, pytorch, sentiment-analysis, time-series, time-series-anomaly-detection, time-series-forecasting, transfer-learning, transformer, tutorial, yolo
- Language: Jupyter Notebook
- Homepage: https://mlexpert.io
- Size: 32.3 MB
- Stars: 2,331
- Watchers: 51
- Forks: 626
- Open Issues: 20
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE