jmtomczak Goto Github PK

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

diffjpeg

git_flow

General Invertible Transformations for Flow-based Generative Models

intro_dgm

"Deep Generative Modeling": Introductory Examples

jmtomczak.github.io

My webpage

lightmm

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

pixelvae

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

popi

Population-based Kinetic Parameter Identification for Saccharomyces cerevisiae

popi4sb

Population-based Parameter Identification for Systems Biology

reversible-de

Differential Evolution with Reversible Linear Transformations

sylvester-flows

tvm

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

vae_householder_flow

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

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