Beast code in Giters

Rui Shu's repositories

vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs

Language:Jupyter NotebookMIT287 18 14

dirt-t

A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

Language:PythonMIT174 8 4

nn-bayesian-optimization

We use a modified neural network instead of Gaussian process for Bayesian optimization.

Language:PythonMIT105 12 3

cvae

Conditional variational autoencoder implementation in Torch

Language:Jupyter NotebookMIT102 5 1

tensorsketch

A lightweight library for tensorflow 2.0

Language:PythonNOASSERTION66 20

vae-experiments

Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction is work-in-progress.

Language:Lua62 4 2

micro-projects

A collection of small code snippets for learning how to code

Language:Jupyter NotebookMIT58 3 2

tensorbayes

Deep variational inference in tensorflow

Language:PythonMIT56 7 5

began

Boundary equilibrium GAN implementation in Tensorflow

Language:PythonMIT15 30

kaos

Deep variational inference library for Keras

Language:PythonBSD-3-Clause15 4 2

fast-style-transfer

Fast style transfer in TensorFlow

Language:PythonMIT14 50

one-bit-vae

A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE

Language:Jupyter NotebookMIT11 2 1

tensorflow-gp

Implementation of gaussian processes and bayesian optimization in tensorflow

Language:Jupyter NotebookMIT11 30

acgan-biased

Experiments verifying that AC-GAN downsamples points near decision boundary (NIPS BDL 2017)

Language:PythonMIT9 20

variational-autoencoder

Basic implementation of variational autoencoders in Torch

Language:Jupyter NotebookMIT9 30

deep-generative-models

Deep generative models in Tensorflow

Language:PythonMIT6 30

bcde

Bottleneck Conditional Density Estimation (ICML 2017)

Language:PythonMIT4 50

ConvFeFe

The best neural network

Language:PythonMIT4 20

real-nvp-pytorch

Real NVP PyTorch a Minimal Working Example

Language:Jupyter Notebook3 30

vda-hax

Simple tricks to improve visual domain adaptation for MNIST -> SVHN

Language:Python3 20

cross-domain-image-generation

Implementation of Unsupervised Cross-Domain Image Generation

Language:Python020

minimum-probability-flow

Matlab implementation of factorized minimum probability flow

Language:MATLAB020

notes

Course notes

Language:CSSMIT020

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Apache-2.0000