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Interactive Data Science In Python With Shiny And Pytorch

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Category Other
Added Thursday 12th June 2025 01:11:56 AM (1 year ago)
Size2.0 GB
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Torrent Files (46)
FilenameSize
Get Bonus Downloads Here.url180 bytes
1 - Introduction.mp44.2 MB
10 - Introduction to Shiny Express for Python.mp423.6 MB
2 - Input Sliders Text Output with Simple Server Logic.mp446.1 MB
3 - Shiny Input Demo.mp477.4 MB
4 - Using HTML to Build a Multiplication Table in Shiny Part 1.mp416.5 MB
5 - Using HTML to Build a Multiplication Table in Shiny Part 2.mp440.9 MB
6 - Using Shiny in VSCode and Deploying Your App.mp4130.8 MB
7 - Exploring Shiny Components.mp4166.2 MB
8 - Working with Action Buttons and Checkboxes.mp449.1 MB
9 - Using Checkbox Groups Selectize and RowColumn Structures.mp460.1 MB
11 - Using Official Shiny Demos as a Learning Tool Sidebar App.mp4112.9 MB
12 - Walkthrough Shinys KDE Plot Demo Project.mp46.5 MB
13 - Walkthrough Penguins Dashboard Demo by the Shiny Team.mp453.5 MB
14 - Project Setup.mp437.4 MB
15 - Adding the Imports.mp49.4 MB
16 - Uploading a CSV File.mp427.5 MB
17 - DASH-4-Displaying-Quick-Stats.mp4330.3 MB
17 - Displaying Quick Stats.mp421.8 MB
18 - Dynamic Column Picker for CSV Data.mp418.2 MB
19 - Displaying Column Details in an Info Card.mp443.5 MB
20 - Visualizing Numeric Columns with Histograms.mp437.1 MB
21 - Visualizing Categorical Columns with Pie or Bar Charts.mp412.6 MB
22 - Conditional Pie or Bar Charts and NoData Messaging.mp428.5 MB
23 - Google Colab and tqdm.mp461.5 MB
24 - How to Get Help with PyTorch.mp451.6 MB
25 - Exploring Additional Help Resources.mp417.4 MB
26 - Introduction to PyTorch and Tensors Part 1.mp437.2 MB
27 - Introduction to PyTorch and Tensors Part 2.mp429.2 MB
28 - Leveraging the GPU for PyTorch in Google Colab.mp47.6 MB
29 - Understanding Mathematical Operations on Tensors.mp495.3 MB
30 - Understanding Indexing and Masking in Tensors.mp450.0 MB
31 - Expanding on Masking in PyTorch.mp473.3 MB
32 - Cloning Tensors for Safe Operations.mp410.4 MB
33 - Broadcasting in PyTorch The First Steps.mp417.3 MB
34 - Broadcasting Next Steps.mp427.0 MB
35 - Handson with More Broadcasting Examples.mp415.9 MB
36 - Getting Started with TorchSight.mp439.7 MB
37 - Adding the PyTorch and Image Processing Imports.mp426.4 MB
38 - Importing the TorchVision Models.mp412.8 MB
39 - Implementing the Get Model Function.mp428.1 MB
40 - Image Transformations.mp426.1 MB
41 - Creating the Title and Sidebar.mp432.6 MB
42 - Getting the ImageNet Labels and Prompting the User for Images.mp438.4 MB
43 - PyTorch Inference.mp437.5 MB
Bonus Resources.txt70 bytes
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