https://github.com/mrtkp9993/deeplearningexamples

Deep learning examples with Python and Tensorflow & Keras.
https://github.com/mrtkp9993/deeplearningexamples

artificial-intelligence classification colab convolutional-neural-networks data-science deep-learning deep-learning-example deep-neural-networks deeplearningexamples dense-neural-network keras machine-learning python python3 regression tensorflow

Last synced: about 1 month ago
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Deep learning examples with Python and Tensorflow & Keras.

• Host: GitHub
• URL: https://github.com/mrtkp9993/deeplearningexamples
• Owner: mrtkp9993
• License: gpl-3.0
• Created: 2020-11-08T15:52:10.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-09-28T07:49:30.000Z (about 1 year ago)
• Last Synced: 2024-05-02T03:37:30.399Z (8 months ago)
• Topics: artificial-intelligence, classification, colab, convolutional-neural-networks, data-science, deep-learning, deep-learning-example, deep-neural-networks, deeplearningexamples, dense-neural-network, keras, machine-learning, python, python3, regression, tensorflow
• Language: Python
• Homepage:
• Size: 152 MB
• Stars: 23
• Watchers: 6
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
# DeepLearningExamples

Deep learning examples with Python.

[![DOI](https://zenodo.org/badge/311097910.svg)](https://zenodo.org/badge/latestdoi/311097910)

## Requirements

```

numpy==1.18.5

scipy==1.5.2

tensorflow==2.2.0

pandas==1.0.5

matplotlib==3.2.2

scikit_learn==0.23.2

```

## Google Colab

You can run notebooks on Colab: 

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mrtkp9993/DeepLearningExamples)

## Examples list

|Dataset                            |Task        | Neural Net Structure / Cell Type| 

|-------                            |----        | ----|

|[Seoul Bike Sharing Demand Data Set](https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand) | Regression | Dense |

|[South German Credit Scoring](https://archive.ics.uci.edu/ml/datasets/South+German+Credit+%28UPDATE%29) | Classification | Dense |

|[Weather Classification](https://data.mendeley.com/datasets/4drtyfjtfy/1)|Image Classification| Convolutional|

|[CLINC150](https://archive.ics.uci.edu/ml/datasets/CLINC150)|Text Classification|Recurrent, Bidirectional Recurrent|

|[Metro Interstate Traffic Volume](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume)|Time-series Forecasting|GRU|

|[Breast Cancer Wisconsin (Original)](http://odds.cs.stonybrook.edu/breast-cancer-wisconsin-original-dataset/)|Anomaly Detection|Vanilla Autoencoder, Variational Autoencoder|

## Examples from my another repositories

|Dataset|Notebook|Task|NN Structure|

|-------|--------|----|------------|

|[Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification](https://data.mendeley.com/datasets/rscbjbr9sj/2)|[Jupyter](https://nbviewer.jupyter.org/github/mrtkp9993/PneumoniaDetectionDeepLearning/blob/main/notebook_wip.ipynb) - [Repo](https://github.com/mrtkp9993/PneumoniaDetectionDeepLearning)|Image classification - Medical diagnosis|Convolutional Neural Network|

## Resources

* https://keras.io/examples/