Interactive Data Science In Python With Shiny And Pytorch
Seeders : 7 Leechers : 0
| Torrent Hash : | 43C39B68B28FEC1C974294CEA6F0C519C8D04258 |
| Torrent Added : | at June 12, 2025, 1:11 a.m. in Other |
| Torrent Size : | 2.0 GB |
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Interactive Data Science In Python With Shiny And Pytorch
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Interactive Data Science In Python With Shiny And Pytorch
Get Bonus Downloads Here.url -
1 - Introduction.mp4 -
10 - Introduction to Shiny Express for Python.mp4 -
2 - Input Sliders Text Output with Simple Server Logic.mp4 -
3 - Shiny Input Demo.mp4 -
4 - Using HTML to Build a Multiplication Table in Shiny Part 1.mp4 -
5 - Using HTML to Build a Multiplication Table in Shiny Part 2.mp4 -
6 - Using Shiny in VSCode and Deploying Your App.mp4 -
7 - Exploring Shiny Components.mp4 -
8 - Working with Action Buttons and Checkboxes.mp4 -
9 - Using Checkbox Groups Selectize and RowColumn Structures.mp4 -
11 - Using Official Shiny Demos as a Learning Tool Sidebar App.mp4 -
12 - Walkthrough Shinys KDE Plot Demo Project.mp4 -
13 - Walkthrough Penguins Dashboard Demo by the Shiny Team.mp4 -
14 - Project Setup.mp4 -
15 - Adding the Imports.mp4 -
16 - Uploading a CSV File.mp4 -
17 - DASH-4-Displaying-Quick-Stats.mp4 -
17 - Displaying Quick Stats.mp4 -
18 - Dynamic Column Picker for CSV Data.mp4 -
19 - Displaying Column Details in an Info Card.mp4 -
20 - Visualizing Numeric Columns with Histograms.mp4 -
21 - Visualizing Categorical Columns with Pie or Bar Charts.mp4 -
22 - Conditional Pie or Bar Charts and NoData Messaging.mp4 -
23 - Google Colab and tqdm.mp4 -
24 - How to Get Help with PyTorch.mp4 -
25 - Exploring Additional Help Resources.mp4 -
26 - Introduction to PyTorch and Tensors Part 1.mp4 -
27 - Introduction to PyTorch and Tensors Part 2.mp4 -
28 - Leveraging the GPU for PyTorch in Google Colab.mp4 -
29 - Understanding Mathematical Operations on Tensors.mp4 -
30 - Understanding Indexing and Masking in Tensors.mp4 -
31 - Expanding on Masking in PyTorch.mp4 -
32 - Cloning Tensors for Safe Operations.mp4 -
33 - Broadcasting in PyTorch The First Steps.mp4 -
34 - Broadcasting Next Steps.mp4 -
35 - Handson with More Broadcasting Examples.mp4 -
36 - Getting Started with TorchSight.mp4 -
37 - Adding the PyTorch and Image Processing Imports.mp4 -
38 - Importing the TorchVision Models.mp4 -
39 - Implementing the Get Model Function.mp4 -
40 - Image Transformations.mp4 -
41 - Creating the Title and Sidebar.mp4 -
42 - Getting the ImageNet Labels and Prompting the User for Images.mp4 -
43 - PyTorch Inference.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
180 bytes
1 - Introduction.mp4 -
4.2 MB
10 - Introduction to Shiny Express for Python.mp4 -
23.6 MB
2 - Input Sliders Text Output with Simple Server Logic.mp4 -
46.1 MB
3 - Shiny Input Demo.mp4 -
77.4 MB
4 - Using HTML to Build a Multiplication Table in Shiny Part 1.mp4 -
16.5 MB
5 - Using HTML to Build a Multiplication Table in Shiny Part 2.mp4 -
40.9 MB
6 - Using Shiny in VSCode and Deploying Your App.mp4 -
130.8 MB
7 - Exploring Shiny Components.mp4 -
166.2 MB
8 - Working with Action Buttons and Checkboxes.mp4 -
49.1 MB
9 - Using Checkbox Groups Selectize and RowColumn Structures.mp4 -
60.1 MB
11 - Using Official Shiny Demos as a Learning Tool Sidebar App.mp4 -
112.9 MB
12 - Walkthrough Shinys KDE Plot Demo Project.mp4 -
6.5 MB
13 - Walkthrough Penguins Dashboard Demo by the Shiny Team.mp4 -
53.5 MB
14 - Project Setup.mp4 -
37.4 MB
15 - Adding the Imports.mp4 -
9.4 MB
16 - Uploading a CSV File.mp4 -
27.5 MB
17 - DASH-4-Displaying-Quick-Stats.mp4 -
330.3 MB
17 - Displaying Quick Stats.mp4 -
21.8 MB
18 - Dynamic Column Picker for CSV Data.mp4 -
18.2 MB
19 - Displaying Column Details in an Info Card.mp4 -
43.5 MB
20 - Visualizing Numeric Columns with Histograms.mp4 -
37.1 MB
21 - Visualizing Categorical Columns with Pie or Bar Charts.mp4 -
12.6 MB
22 - Conditional Pie or Bar Charts and NoData Messaging.mp4 -
28.5 MB
23 - Google Colab and tqdm.mp4 -
61.5 MB
24 - How to Get Help with PyTorch.mp4 -
51.6 MB
25 - Exploring Additional Help Resources.mp4 -
17.4 MB
26 - Introduction to PyTorch and Tensors Part 1.mp4 -
37.2 MB
27 - Introduction to PyTorch and Tensors Part 2.mp4 -
29.2 MB
28 - Leveraging the GPU for PyTorch in Google Colab.mp4 -
7.6 MB
29 - Understanding Mathematical Operations on Tensors.mp4 -
95.3 MB
30 - Understanding Indexing and Masking in Tensors.mp4 -
50.0 MB
31 - Expanding on Masking in PyTorch.mp4 -
73.3 MB
32 - Cloning Tensors for Safe Operations.mp4 -
10.4 MB
33 - Broadcasting in PyTorch The First Steps.mp4 -
17.3 MB
34 - Broadcasting Next Steps.mp4 -
27.0 MB
35 - Handson with More Broadcasting Examples.mp4 -
15.9 MB
36 - Getting Started with TorchSight.mp4 -
39.7 MB
37 - Adding the PyTorch and Image Processing Imports.mp4 -
26.4 MB
38 - Importing the TorchVision Models.mp4 -
12.8 MB
39 - Implementing the Get Model Function.mp4 -
28.1 MB
40 - Image Transformations.mp4 -
26.1 MB
41 - Creating the Title and Sidebar.mp4 -
32.6 MB
42 - Getting the ImageNet Labels and Prompting the User for Images.mp4 -
38.4 MB
43 - PyTorch Inference.mp4 -
37.5 MB
Bonus Resources.txt -
70 bytes
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