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graph-representations

Comparing graph representations for molecular features prediction

huggingmolecules

hypernerfgan

icicle

intercontinet

kernel_sa-abmilp

kernelselfattentiondeepmil

Kernel self-attention in deep multiple instance learning

lcw-generator

Implementation of "Generative models with kernel distance in data space" paper in PyTorch

lidc-idri-segment

LIDC-IDRI reference segmentation masks

lidl-continuation

local-prototypes

Experiment with Prototype models with local prototypes

locogan

PyTorch implmentation of LocoGAN: https://arxiv.org/abs/2002.07897

loconda

The official implementation of the "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" paper

mango

melm

Maximum Entropy Linear Manifold

metstab-shap

Analyse metabolic stability predictions using SHapley Additive exPlanations.

ml2017

Repository for course Machine Learning at JU

ml2022-23

Materials for the 2022/23 edition of Machine Learning classes

mldd23

The repository for the course "Machine Learning in Drug Design" taught at the Jagiellonian University in 2023. The page is hosted by the machine learning research group GMUM.

mlinpl-chem-generative-models

mlinpl2019_cheminfo_workshops

mlls2015

Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015

mow

One-element Batch Training by Moving Window

mow-pytorch

Batch size reconstruction-distribution trade-off in kernel-based generative autoencoders

multiplanenerf

MultiPlaneNeRF

natural-language-processing-classes

Natural language processing classes. Winter 2018/2019.

nice_pytorch

Flow model - NICE

nn2019

Sieci neuronowe 2018/19

non-gaussian-gaussian-processes

oneflow