jmtomczak

git_flow

General Invertible Transformations for Flow-based Generative Models

intro_dgm

"Deep Generative Modeling": Introductory Examples

jmtomczak.github.io

My webpage

PixelVAE

Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013

reversible-de

Differential Evolution with Reversible Linear Transformations

sylvester-flows

vae_householder_flow

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

vae_kan_example

A simple example of VAEs with KANs

vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

vae_vpflows

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

jmtomczak/intro_dgm

"Deep Generative Modeling": Introductory Examples

jmtomczak/vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

jmtomczak/vae_vpflows

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

jmtomczak/vae_householder_flow

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

jmtomczak/git_flow

General Invertible Transformations for Flow-based Generative Models

jmtomczak/reversible-de

Differential Evolution with Reversible Linear Transformations

jmtomczak/vae_kan_example

A simple example of VAEs with KANs

jmtomczak/sylvester-flows

jmtomczak/jmtomczak.github.io

My webpage

jmtomczak/PixelVAE

Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013

jmtomczak/popi4sb

Population-based Parameter Identification for Systems Biology

jmtomczak/AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

jmtomczak/lightMM

lightMM: a novel tool for calculating kinetic constants in the Michaelis-Menten equation from two substrate concentrations

jmtomczak/DiffJPEG

jmtomczak/popi

Population-based Kinetic Parameter Identification for Saccharomyces cerevisiae

jmtomczak/tvm

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares