8 open source projects by timsainb

Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

Noise reduction in python using spectral gating (speech, bioacoustics, time-domain signals)

Latent and generative models of animal vocalizations for songbirds, mice, primates, humans, cetaceans, etc.

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.