Name: David Bau
Type: User
Company: Northeastern University
Bio: Northeastern professor in machine learning, interpretable deep networks, NLP and vision, ex-Googler. Believes that deep learning should be transparent.
Twitter: davidbau
Location: Boston
Blog: http://baulab.info/
David Bau's Projects
Ace (Ajax.org Cloud9 Editor)
biglm website
A Theano framework for building and training neural networks
Caffe: a fast open framework for deep learning.
Model interpretability and understanding for PyTorch
Our goal is to operate this CDN in a peer reviewed fashion.
Testing repo for webhooks
IcedCoffeeScript
A repo for keeping track of colab tricks.
An interactive HTML conformal map viewer.
Chart of current COVID-19 time series data. Enables a variety of county- state- and nation-level comparisons and data exploration.
webgl-based plotter of functions from C->C
A Human-in-the-Loop workflow for creating HD images from text
linux kernel pre-2.4
Website
Hardware-accelerated deep learning // machine learning // NumPy library for the web.
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
Class materials for ds4440
Conda environments for pytorch-oriented deep learning work.
A responsive Apache index page.
Template and instructions for posting final project website.
Seeing what a GAN cannot generate. Visualizes and quantifies object classes within scenes that are outside the range of a GAN.
Getting Started Material
Repository for the session on global-, model-, and representation-level interpretations.
A package containing the glowscript javascript libaries as a single javascript file.