AleksCipri
Astrophysicist working at the intersection of astronomy and machine learning. True believer in ML for science.
Fermi National Accelerator LaboratoryBatavia
AleksCipri's Stars
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
SheffieldML/GPyOpt
Gaussian Process Optimization using GPy
dfdazac/wassdistance
Approximating Wasserstein distances with PyTorch
georgestein/ml-in-cosmology
A comprehensive list of published machine learning applications to cosmology
tensorchiefs/dl_book
legend
taomanwai/tensorboardcolab
A library make TensorBoard working in Colab Google
fwilliams/scalable-pytorch-sinkhorn
probabilists/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
LSSTScienceCollaborations/StackClub
Learning the LSST software Stack, by writing jupyter notebook tutorials.
martius-lab/beta-nll
beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
tomcharnock/IMNN
Using neural networks to extract sufficient statistics from data by maximising the Fisher information
DataDrivenGalaxyEvolution/galevo23-tutorials
Tutorials for the KITP Galevo23 program
mlcolab/sbi-workshop
SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
matthias-wright/cifar10-resnet
PyTorch implementation of a 9-layer ResNet for CIFAR-10.
nugraph/nugraph
dtanoglidis/ML_Edu_Demos
Notebooks for the Deep Learning Eduction Club
marinadunn/thesis
Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"
yihhhh/OT-for-Domain-Adaptation
gsnyder206/deepmerge-mocks
vimarshc/fastai_experiments