Posted on Thu 15 August 2024 in Machine Learning • Tagged with airflow, behavior, mmpose, mmdetection, keyoints, slurm
I build an analysis pipeline around slurm and Apache Airflow to analyze neuro-behavioral datasets.
Posted on Mon 19 July 2021 in dimensionality reduction • Tagged with umap, coranking matrix, metrics
Posted on Sat 03 October 2020 in Machine Learning • Tagged with UMAP, Parametric UMAP, Dimensionality Reduction
Our new paper, "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" is on arXiv.
Posted on Tue 19 May 2020 in Neural networks • Tagged with VGG16, tensorflow, neural networks, convolutional neural networks, receptive fields
A few examples of feature visualization in convolutional neural networks with Tensorflow 2.0. In this part, we look at filtering images using different layers of a deep neural network. We also perform style transfer, by modifying an image to have similar layer activations as a second source image.
Posted on Tue 19 May 2020 in Neural networks • Tagged with VGG16, tensorflow, neural networks, convolutional neural networks, receptive fields
A few examples of feature visualization in convolutional neural networks with Tensorflow 2.0. In this part, we look at how much information is contained about the original image by trying to reconstruct the image based upon layer activations.
Posted on Tue 19 May 2020 in Neural networks • Tagged with VGG16, tensorflow, neural networks, convolutional neural networks, receptive fields
A few examples of feature visualization in convolutional neural networks with Tensorflow 2.0. In this part, we look at visualizing classes.
Posted on Tue 19 May 2020 in Neural networks • Tagged with VGG16, tensorflow, neural networks, convolutional neural networks, receptive fields
A few examples of feature visualization in convolutional neural networks with Tensorflow 2.0. In this part, we look at visualizing classes.
Posted on Sat 21 September 2019 in data science • Tagged with research notes, sigma.js, network science, plotting, data science, wordpress, xml, rss
Posted on Sat 21 September 2019 in neuroscience • Tagged with raspberry pi, open ephys, neuroscience, neural recordings, open science
Posted on Sat 17 August 2019 in Birdsong • Tagged with birdsong, language, speech, finch, starling, vireo, thrasher, syntax, phonology
We released a new paper about the sequential organization of speech and birdsong in Nature Communications. Our paper models sequential mutual information of both signals, and shows similarities in the long- and short-range organization between birdsong and speech.
Posted on Fri 07 June 2019 in python • Tagged with python, cv, curriculum vitae, jinja, html, css, json
Posted on Fri 07 June 2019 in python • Tagged with jupyter, python, google colab
An example of how to run Jupyter notebooks on Google Colab even when they require additional dependencies.
Posted on Thu 23 May 2019 in Signal Processing • Tagged with spectrograms, python, jupyter
Posted on Mon 29 April 2019 in Tensorflow • Tagged with tensorflow hdf5, tfrecord, convert
Posted on Tue 19 March 2019 in birdsong • Tagged with birdsong, machine learning, variational autoencoder, context, category learning
My conference poster and oral presentation from CCN 2018 on the context dependent categorical perception behavior I designed for songbirds
Posted on Tue 19 March 2019 in birdsong • Tagged with birdsong, machine learning, variational autoencoder, UMAP, GAIA, GAN, unsupervised learning
Posted on Fri 15 March 2019 in Birdsong • Tagged with MRI, atlas, songbird, canary, zebra finch, mustached bat, european starling, pigeon, brain, python
A python package for use with the songbird brain atlases focusing on stereotactic localization of the European starling, Canary, Zebra finch, Pigeon, and Mustached bat.
Posted on Mon 11 February 2019 in Birdsong • Tagged with pyoperant, RPiOperant, operant conditioning, behavior
Posted on Sun 07 October 2018 in Machine Learning • Tagged with tensorflow, gan, adversarial, convex, autoencoder, GAIA
A novel interpolation-based Generative Adversarial Network / Autoencoder written in Tensorflow
Posted on Sat 07 July 2018 in Signal Processing • Tagged with spectrograms, python, jupyter
A quick implementation of a noise reduction algorithm using spectral gating in python.
Posted on Sat 07 July 2018 in Signal Processing • Tagged with griffin-lim, spectrogram, inversion, python, audio
Posted on Sat 07 July 2018 in Machine Learning • Tagged with tensorflow, vae, variational autoencoder, python, autoencoder