kingofspace0wzz

wae-rnf-lm

Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399

paper

Papers that I read since 2019/3

zero123

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

ACE

Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).

AffineFlowCausalInf

Code for "Autoregressive flow-based causal discovery and inference" - ICML INNF workshop, 2020

babyagi

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

causal-confusion

Code for paper Causal Confusion in Imitation Learning

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

copula-vae-lm

cxplain

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

dag-learning

disentanglement-pytorch

Disentanglement library for PyTorch

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

gw_gan

Code for the Paper 'Learning Generative Models across Incomparable Spaces'

hsic-fair

kingofspace0wzz.github.io

Prince's academic webpage

lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

latent-space-EBM-prior

NeuralDecomposition

PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"

NeurIPS19-SBDRL

Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-Dupré, M. Garcia-Ortiz and D. Filliat.

neurips2019_disentanglement_challenge_starter_kit

Starter Kit for the NeurIPS 2019 Disentanglement Challenge

photorama

"PHOTORAMA" template for Jekyll

proposals

Here stores some proposals I wrote in the past for my projects

python-tricks

Some cool Python tricks

the-art-of-command-line

Master the command line, in one page

torch-neuralpointprocess

(Pytorch ver) Code for "Fully Neural Network based Model for General Temporal Point Process"

ts_am

uai2020-fair

UAI2020 Fairness paper