IlzeAmandaA

ABCdiscrete

Python software for black-box optimization for discrete data. Based on ideas from Approximate Bayesian Computation and Differential Evolution.

bayeSDE

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

BayesianCNN-DNA

This repository contains python code for identifying DNA motifs (short DNA sequences) using Bayesian CNNs combined with an attention mechanism

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

fourierflow

[ML4PS @ NeurIPS 2021] Factorized Fourier Neural Operators

ilzeamandaa.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

MoNODE

Code base for Modulated Neural ODEs (MoNODEs), a novel framework that sets apart dynamics states from underlying static factors of variation and improves the existing NODE methods.

NeuralWaveMachines

Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks"

VAE-GP-ODE

IlzeAmandaA/MoNODE

Code base for Modulated Neural ODEs (MoNODEs), a novel framework that sets apart dynamics states from underlying static factors of variation and improves the existing NODE methods.

IlzeAmandaA/ABCdiscrete

Python software for black-box optimization for discrete data. Based on ideas from Approximate Bayesian Computation and Differential Evolution.

IlzeAmandaA/VAE-GP-ODE

IlzeAmandaA/bayeSDE

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

IlzeAmandaA/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

IlzeAmandaA/fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

IlzeAmandaA/fourierflow

[ML4PS @ NeurIPS 2021] Factorized Fourier Neural Operators

IlzeAmandaA/ilzeamandaa.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

IlzeAmandaA/LPSDA

Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"

IlzeAmandaA/Neural-SPDEs

IlzeAmandaA/ODE2VAE

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

IlzeAmandaA/PhiFlow

A differentiable PDE solving framework for machine learning

IlzeAmandaA/Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

IlzeAmandaA/scalable-inference-in-sdes

Methods and experiments for assumed density SDE approximations

IlzeAmandaA/NeuralWaveMachines

Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks"

IlzeAmandaA/DiffCoSim

By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to enable learning of hybrid dynamics.

IlzeAmandaA/DL2_Tutorial2

Material for the Deep Learning 2 Tutorial

IlzeAmandaA/google-research

Google Research

IlzeAmandaA/HyperNetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

IlzeAmandaA/idsprites

Easily generate continual learning benchmarks.

IlzeAmandaA/LEADS

Learning Dynamical Systems that Generalize Across Environments

IlzeAmandaA/neural-flows-experiments

Experiments for Neural Flows paper

IlzeAmandaA/pytorch-ensembles

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

IlzeAmandaA/SlotFormer

Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

IlzeAmandaA/srvp

Official implementation of the paper Stochastic Latent Residual Video Prediction

IlzeAmandaA/steve_base

Official code for Slot-Transformer for Videos (STEVE)

IlzeAmandaA/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

IlzeAmandaA/torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods.

IlzeAmandaA/torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

IlzeAmandaA/uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021