cw-huang Goto Github PK

adaptiveattention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

bayesianhypernet

bdl-reading-list

Bayesian Deep Learning

cp-flow

Convex potential flows

gradescope-autograder-template

A good template for creating homework assignments for gradescope autograder (in python)

hiwae

code for hierarchical importance weighted autoencoders

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

ift6085

analysis on optimization methods for non-linear objective

ift6135h19_assignment

ift6135h20_assignment

ift6266_project_inpainting

image inpainting task for the final project of IFT6266

lc_softmax_experiments

lda_variations

IFT6269 project

naf

Experiments for the Neural Autoregressive Flows paper

naf_examples

examples of Neural Autoregressive Flows

noisynaturalgradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"

pixel-cnn-pp

Pytorch Implementation of PixelCNN++

residual-flows

code for "Residual Flows for Invertible Generative Modeling".

sdeflow-light

A minimalist implementation of score-based diffusion model

seqiwae

Sequentialized sampling importance resampling (SSIR) and Importance weighted variational inference

torchkit

vae

playground for vae experiments

vae-paraphrase

vaeriants.github.io

A VAE wiki

welcome_tutorials

Pytorch Tutorial given to IFT6135 Representation Learning Class