{"id":13583887,"url":"https://github.com/curiousily/Getting-Things-Done-with-Pytorch","last_synced_at":"2025-04-06T21:33:24.896Z","repository":{"id":38069502,"uuid":"237385601","full_name":"curiousily/Getting-Things-Done-with-Pytorch","owner":"curiousily","description":"Jupyter Notebook tutorials on solving real-world problems with Machine Learning \u0026 Deep Learning using PyTorch. 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Go from prototyping to deployment with PyTorch and Python!\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/curiousily/Getting-Things-Done-with-Pytorch/)\n\n\u003ca href=\"https://bit.ly/gtd-with-pytorch\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/curiousily/Getting-Things-Done-with-Pytorch/master/.github/book-cover.png\" width=\"280\"\u003e\n\u003c/a\u003e\n\n\u003ca href=\"https://bit.ly/gtd-with-pytorch\" target=\"_blank\"\u003eRead the book here\u003c/a\u003e\n\n## 📖 Read for FREE\n\nThe whole book can be read using the links below. Each part contains a notebook that you can find in this repository.\n\n- [Getting Started with PyTorch](https://www.curiousily.com/posts/getting-started-with-pytorch/)\n- [Build Your First Neural Network](https://www.curiousily.com/posts/build-your-first-neural-network-with-pytorch/)\n- [Transfer Learning for Image Classification using Torchvision](https://www.curiousily.com/posts/transfer-learning-for-image-classification-using-torchvision-pytorch-and-python/)\n- [Face Detection on Custom Dataset with Detectron2](https://www.curiousily.com/posts/face-detection-on-custom-dataset-with-detectron2-in-python/)\n- [Time Series Forecasting with LSTMs for Daily Coronavirus Cases](https://www.curiousily.com/posts/time-series-forecasting-with-lstm-for-daily-coronavirus-cases/)\n- [Time Series Anomaly Detection using LSTM Autoencoders](https://www.curiousily.com/posts/time-series-anomaly-detection-using-lstm-autoencoder-with-pytorch-in-python/)\n- [Create Dataset for Sentiment Analysis by Scraping Google Play App Reviews](https://www.curiousily.com/posts/create-dataset-for-sentiment-analysis-by-scraping-google-play-app-reviews-using-python/)\n- [Sentiment Analysis with BERT and Transformers by Hugging Face](https://www.curiousily.com/posts/sentiment-analysis-with-bert-and-hugging-face-using-pytorch-and-python/)\n- [Deploy BERT for Sentiment Analysis as REST API using FastAPI](https://www.curiousily.com/posts/deploy-bert-for-sentiment-analysis-as-rest-api-using-pytorch-transformers-by-hugging-face-and-fastapi/)\n- [Object Detection on Custom Dataset with YOLO (v5)](https://www.curiousily.com/posts/object-detection-on-custom-dataset-with-yolo-v5-using-pytorch-and-python/)\n\nConsider buying the book if you want to support my work. Thanks for stopping by! 🤗\n","funding_links":["https://github.com/sponsors/curiousily"],"categories":["Jupyter Notebook","Competitions","📚 Project Purpose"],"sub_categories":["Tools","Machine Learning (Intermediate-Level"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcuriousily%2FGetting-Things-Done-with-Pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcuriousily%2FGetting-Things-Done-with-Pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcuriousily%2FGetting-Things-Done-with-Pytorch/lists"}