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 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 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 Machine Learning • Tagged with tensorflow, vae, variational autoencoder, python, autoencoder