augustinas1
PhD Student at The Alan Turing Institute & The University of Edinburgh
Melbourne, Australia
Pinned Repositories
Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
CellCycle-RNAseq
Code for paper
DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
DeepCycle
Cell cycle inference in single-cell RNA-seq
DiffEqSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
FiniteStateProjection.jl
Finite State Projection algorithms for chemical reaction networks
gaia-source-classification
Machine learning methods to classify objects observed by the European Space Agency's Gaia space telescope
keras
Deep Learning for humans
MomentClosure.jl
Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations
Nessie
Neural Estimation of Stochastic Simulations for Inference and Exploration
augustinas1's Repositories
augustinas1/MomentClosure.jl
Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations
augustinas1/Nessie
Neural Estimation of Stochastic Simulations for Inference and Exploration
augustinas1/CellCycle-RNAseq
Code for paper
augustinas1/Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
augustinas1/DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
augustinas1/DeepCycle
Cell cycle inference in single-cell RNA-seq
augustinas1/DiffEqSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
augustinas1/FiniteStateProjection.jl
Finite State Projection algorithms for chemical reaction networks
augustinas1/gaia-source-classification
Machine learning methods to classify objects observed by the European Space Agency's Gaia space telescope
augustinas1/keras
Deep Learning for humans
augustinas1/shap
A unified approach to explain the output of any machine learning model.
augustinas1/nf-core-scrnaseq
A single-cell RNAseq pipeline for 10X genomics data
augustinas1/TestPackage.jl
This is an example package -- testing how it all works
augustinas1/txburst
Transcriptional burst kinetics inference and analysis described in the article "Genomic encoding of transcriptional burst kinetics" (Larsson et. al 2019).