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/BayesianCNN-DNA

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

IlzeAmandaA/simDNAgen

Python code to generate simulation DNA sequences with relevant motif (encoding DNA) insertion

IlzeAmandaA/DeepRL

Python code for Deep Q-Learning learning. The algorithm was investigated as an optimal solution for three tasks: (1) obstacleavoidance, (2) foraging and (3) predator-prey behaviour.

IlzeAmandaA/FNP

Implementation of the Functional Neural Process models

IlzeAmandaA/inv_latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper