Antoine Wehenkel's repositories
Graphical-Normalizing-Flows
Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.
Normalizing-Flows
This repository offers an implementation of some common architectures for normalizing flows.
generalized-UMNN
Extension to multivariate unconstrained monotonic functions.
phd-thesis
My baby.
LatentDiffusion
# Research project on hidden markov models for diffusion on images
AffineFlowCausalInf
Code for "Autoregressive flow-based causal discovery and inference" - ICML INNF workshop, 2020
AWehenkel.github.io
Personal Website
info8004-advanced-machine-learning
Lectures for INFO8004 - Advanced Machine Learning, ULiège
info8010-deep-learning
Lectures for INFO8010 - Deep Learning, ULiège
MongeAmpereFlow
Continuous-time gradient flow for generative modeling and variational inference
openBF
1D blood flow model
openBF-db
openBF population generator
ott
Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.
pytorch-examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.