AWehenkel

I am a researcher at Apple where I combine biophysical models with machine learning for health applications.

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Pinned Repositories

ml-robust-expert-augmentations
Language:Python26 7 01
bdd-project
Language:PHP1 4 00
best-twitter-threads
2 1 00
generalized-UMNN
Extension to multivariate unconstrained monotonic functions.
Language:Jupyter Notebook11 3 03
Graphical-Normalizing-Flows
Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.
Language:Python44 4 211
LatentDiffusion
# Research project on hidden markov models for diffusion on images
Language:Python2 3 00
Normalizing-Flows
This repository offers an implementation of some common architectures for normalizing flows.
Language:Jupyter Notebook13 2 02
NTDS-Project
Language:Jupyter Notebook1 3 01
phd-thesis
My baby.
Language:TeX6 2 00
UMNN
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
Language:Python117 4 717

AWehenkel's Repositories

AWehenkel/UMNN
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
Language:Python117 4 717
AWehenkel/Graphical-Normalizing-Flows
Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.
Language:Python44 4 211
AWehenkel/Normalizing-Flows
This repository offers an implementation of some common architectures for normalizing flows.
Language:Jupyter Notebook13 2 02
AWehenkel/generalized-UMNN
Extension to multivariate unconstrained monotonic functions.
Language:Jupyter Notebook11 3 03
AWehenkel/phd-thesis
My baby.
Language:TeX6 2 00
AWehenkel/best-twitter-threads
2 1 00
AWehenkel/LatentDiffusion
# Research project on hidden markov models for diffusion on images
Language:Python2 3 00
AWehenkel/NTDS-Project
Language:Jupyter Notebook1 3 01
AWehenkel/ADA-2017
Repository containing project and homeworks of the ADA course
Language:Jupyter Notebook0 4 00
AWehenkel/AffineFlowCausalInf
Code for "Autoregressive flow-based causal discovery and inference" - ICML INNF workshop, 2020
Language:Python0 1 00
AWehenkel/compiler
Language:C++0 2 00
AWehenkel/AIAP1
Project 1 of machine learning
Language:Python2 0
AWehenkel/AWehenkel.github.io
Personal Website
Language:CSS2 0
AWehenkel/constraint_prog
Language:Julia3 0
AWehenkel/cp-DO
Language:Python3 0
AWehenkel/ffjord
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
Language:Python3 0
AWehenkel/fish-app
Language:Python2 0
AWehenkel/info8004-advanced-machine-learning
Lectures for INFO8004 - Advanced Machine Learning, ULiège
Language:CSS1 0
AWehenkel/info8010-deep-learning
Lectures for INFO8010 - Deep Learning, ULiège
Language:Jupyter Notebook2 01
AWehenkel/Logic_project
Language:Java2 0
AWehenkel/MongeAmpereFlow
Continuous-time gradient flow for generative modeling and variational inference
Language:Python3 0
AWehenkel/nflows
Normalizing flows in PyTorch
Language:Python1 0
AWehenkel/oose
Language:Java3 0
AWehenkel/OOSE_2
Language:Java3 0
AWehenkel/openBF
1D blood flow model
Language:Julia0 0
AWehenkel/openBF-db
openBF population generator
Language:Jupyter Notebook0 0
AWehenkel/ott
Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.
Language:Python0 0
AWehenkel/phd-defense
Language:Jupyter Notebook1 01
AWehenkel/pytorch-examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Language:Python2 0
AWehenkel/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Language:Python2 0