StarostinV
Machine Learning Researcher at ML ⇌ Science Colaboratory. PhD in Machine Learning in Scattering Physics
Universität Tübingen
Pinned Repositories
emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
mlgixd
Deep learning-based feature detection for GIXD data
reflectorch
Machine learning package for X-ray and neutron reflectometry incorporating prior knowledge
convkan
Convolutional layer for Kolmogorov-Arnold Network (KAN)
GIWAXS_GUI
A graphical tool for GIWAXS data analysis
GIWAXS_GUI_2
GUI for GIWAXS data analysis (under development).
lithicweb
3D web annotation tool for lithic artifacts
nflows-hands-on
Advanced Deep Learning course: hands-on session on normalizing flows
reflect-torch-engine
torchmcee
Monte Carlo sampling methods implemented in PyTorch
StarostinV's Repositories
StarostinV/convkan
Convolutional layer for Kolmogorov-Arnold Network (KAN)
StarostinV/nflows-hands-on
Advanced Deep Learning course: hands-on session on normalizing flows
StarostinV/GIWAXS_GUI_2
GUI for GIWAXS data analysis (under development).
StarostinV/reflect-torch-engine
StarostinV/torchmcee
Monte Carlo sampling methods implemented in PyTorch
StarostinV/airyconf
StarostinV/animated-lectures
A series of animated lectures on ML applications as a part of the course on the experimental methods in Scattering Physics
StarostinV/gixi
End-to-end pipeline for GIXD data analysis
StarostinV/lithicweb
3D web annotation tool for lithic artifacts
StarostinV/mlgixd
Deep learning-based feature detection for GIXD data
StarostinV/xpcs_autoencoder
Autoencoder-based automatic analysis of XPCS correlation maps from protein dynamics
StarostinV/zoomsweb
ML-powered zooarchaeology by mass spectroscopy on the web
StarostinV/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
StarostinV/bactovision
A jupyter widget for processing bacterial growth images
StarostinV/cahnhilliard
GPU-accelerated Cahn-Hilliard solver
StarostinV/crystals_view
StarostinV/CrystalsInPytorch
Fast PyTorch-accelerated simulation of the diffraction patterns
StarostinV/emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
StarostinV/exeplmary_code
StarostinV/fastxq
StarostinV/l2l
Code for the l2lhackathon.com (2nd place in the track)
StarostinV/LearnGitHubActions
A toy repo to try out Github Actions in action
StarostinV/lighter_torch
StarostinV/panpe
StarostinV/particle_simulations
StarostinV/plt-pack
A packaging tool for storing and exchanging data & code bound in a single file. Main focus on supporting matplotlib package for exchanging scientific figures. Integrated with Jupyter Notebook.
StarostinV/reporting_sampling
ESI for "Advice on describing Bayesian analysis of neutron and X-ray reflectometry"
StarostinV/SandroProject
StarostinV/SoftMatterWeb
StarostinV/StarostinV.github.io