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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

autoencoders

Implementation of several different types of autoencoders

bayes_gmm

Bayesian Gaussian mixture models in Python.

chapters

The online textbook Probabilistic Models of Cognition

cmc

"Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

covid-19-viz

coxlab-website

cozmo-python-sdk

Anki Cozmo Python SDK

cs207-2016

CS207 Fall 2016 Public Repository

cs207binsearch

cs207project

Time Series Library for CS207 - 2016

cs207project-1

cs207test

cs207work

cs282r_deep_learning_workshop

A tensorflow tutorial for CS282R: Robust Machine Learning at Harvard University.

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

ds-vae

dsvae_experiments

DSVAE experiments

expectation-maximization

fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

hugo-future-imperfect-slim

Multilingual Blogging Theme for Hugo

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

milestone1final

Please check this repository for milestone 1.

ml-website

mltheoryseminar

neural-tangents

Fast and Easy Infinite Neural Networks in Python

neural_kernels_code

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"