Code Examples and Exercises for DSDC160 Data Science and the Arts - Spring 2020 - Twomey - dsc160.roberttwomey.com
- Web Scraping: examples/scrape-wikiart.ipynb
- Basic Image Stats: examples/basic-image-stats.ipynb
- Large Figures with Thumbnails: examples/large_figures.ipynb
- Advanced Image Features: examples/advanced-image-features.ipynb
- Face and Object Detection: examples/face-obj-detection.ipynb
- Basic Audio Features: examples/basic-audio-features.ipynb
- Frequency Transforms: examples/frequency-transforms.ipynb
- Advanced Audio Features: examples/advanced-audio-features.ipynb
- Bokeh for Interactive Plots: examples/bokeh.ipynb
- Dimensional Reduction Techniques: examples/dimensional-reduction.ipynb
- Multidimensional Audio: examples/audio-cluster-dim-reduction.ipynb
- CNNs as Feature Extractors: examples/cnn-feature-extractor.ipynb
- Text Generation with RNN (LSTM/GRU): examples/text-generation-rnn.ipynb
- Music Generation (all from Google Magenta)
- Performance-RNN colab notebook: https://colab.research.google.com/notebooks/magenta/performance_rnn/performance_rnn.ipynb
- Music-VAE: https://magenta.tensorflow.org/multitrack
- Music Transformer colab notebook: https://colab.research.google.com/notebooks/magenta/piano_transformer/piano_transformer.ipynb
- Deep Dream: examples/deepdream.ipynb
- VGG Walkthrough: examples/vgg_walkthrough/vgg19_layers.ipynb
- Neural Style Transfer: examples/neural-style-transfer.ipynb
- DCGAN: examples/DCGAN.ipynb
- Hands-on with AttnGAN: https://experiments.runwayml.com/generative_engine/
- Musical sound synthesis notebooks on google Colab
- Speech synthesis notebooks on google Colab:
- GPT-2 Sampling: examples/gpt-2-exploration.ipynb
- GPT-2 Finetuning: examples/gpt-2-finetuning.ipynb
- Exercise 0 - Cultural Analytics Reading and Resonse (on Canvas)
- Exercise 1 - Web-Scraping and Basic Visual Features
- Exercise 2 - Genre Classification with MFCCs
- Exercise 3 - BigGAN Latent Space