Pinned Repositories
bimodal-qd-micropillars
Matlab and DDEBIF-tool project for simulating quantum dot micropillar lasers using a semiclassical rate equation model. Bimodal version which is more advanced than qd-micropillar-laser.
cnre
Extending amortized approximate likelihood-ratio estimation / neural ratio estimation to the contrastive case, while staying consistent with the original work.
e3nn
equivariant-benchmark
Benchmarking equivariant neural networks.
qd-micropillar-laser
Matlab and DDEBIF-tool project for simulating quantum dot micropillar lasers using a semiclassical rate equation model.
sbi
Simulation-based inference in PyTorch
tmnre
Truncated marginal neural ratio estimation based on swyft and amortized approximate ratio estimators.
e3nn
A modular framework for neural networks with Euclidean symmetry
flowmm
Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions"
swyft
A system for scientific simulation-based inference at scale.
bkmi's Repositories
bkmi/equivariant-benchmark
Benchmarking equivariant neural networks.
bkmi/tmnre
Truncated marginal neural ratio estimation based on swyft and amortized approximate ratio estimators.
bkmi/cnre
Extending amortized approximate likelihood-ratio estimation / neural ratio estimation to the contrastive case, while staying consistent with the original work.
bkmi/e3nn
bkmi/sbi
Simulation-based inference in PyTorch
bkmi/balancing_sbi
bkmi/basicpython
The template for a basic python project.
bkmi/cdvae
OCP version of cdvae
bkmi/deneb
Interactive visualization library build on top of Altair and Vega
bkmi/DiffCSP-official
bkmi/diffeqtorch
DifferentialEquations.jl with PyTorch
bkmi/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
bkmi/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
bkmi/lie_learn
Computations involving Lie groups and harmonic analysis
bkmi/lightning
Deep learning framework to train, deploy, and ship AI products Lightning fast.
bkmi/mace
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
bkmi/markdown-resume
Create/Update your resume in markkdown, and easily convert to HTML or PDF
bkmi/mkposters
Make posters from Markdown files.
bkmi/NeuralLikelihoodFreeInference.github.io
Build a Jekyll blog in minutes, without touching the command line.
bkmi/numerics-ii
Numerics II class by Prof. Dr. Ralf Kornhuber in the 2019/2020 winter semester at Freie Universität Berlin.
bkmi/obsidian
.gitignore for obsidian
bkmi/pytorch_geometric
Graph Neural Network Library for PyTorch
bkmi/resume-md-to-pdf
The Markdown Resume
bkmi/riemannian-fm
code for "Riemannian Flow Matching on General Geometries".
bkmi/sbibm
Simulation-based inference benchmark
bkmi/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
bkmi/simulation-based-inference.github.io
Website
bkmi/stellargraph
StellarGraph - Machine Learning on Graphs
bkmi/torch-mist
Implementation of a PyTorch Mutual Information Estimation Toolkit
bkmi/zuko
Normalizing flows in PyTorch