Is a self study project for understanding generative neural networks.
- Generating Sequences With Recurrent Neural Networks
- Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories
- Recurrent Neural Network Tutorial for Artists (2017)
- Teaching Machines to Draw
- A Neural Representation of Sketch Drawings
- Four Experiments in Handwriting with a Neural Network
- Sequence Modeling With CTC
- How to Use t-SNE Effectively
- fun Experiments for machine learning
- Compositional Pattern Producing Networks: A Novel Abstraction of Development
- Differentiable Image Parameterizations
- Feature-wise transformations
- The Building Blocks of Interpretability
- Bay Area Deep Learning School Day 2
- slides
- Blog
- ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
- Freesound General-Purpose Audio Tagging Challenge: Kaggle Playground Competition
- Generative Adversial Networks
- VAE/ D-VAE
- Gaussian Mixture Models
- char-rnn vector twitter svg
- Transformers/Wavenet/ByteNet
- Scikit-learn style model finetuning for NLP
- Openai Glow