Discover gmum/wzum-23 Open Source project by GMUM (@gmum)

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Selected Machine Learning problems 2023

huggingmolecules

Python

121

pykernels

Python library for working with kernel methods in machine learning

points2nerf

geo-gcn

The official implementation of the SGCN architecture.

Python

ViewingDirectionGaussianSplatting

Python

toolkit

A set of useful tools for DL experiments, project templates, etc.

Python

gmum.r

GMUM machine learning group R package

C++

3d-point-clouds-autocomplete

The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch

Python

3d-point-clouds-HyperCloud

The official implementation of the "Hypernetwork approach to generating point clouds" paper

Python

graph-representations

Comparing graph representations for molecular features prediction

Python

ProtoPool

Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022

Python

non-gaussian-gaussian-processes

Jupyter Notebook

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.

HTML

Kernel_SA-AbMILP

Python

few-shot-hypernets-public

Jupyter Notebook

rl-crash-course

Crash Course in Reinforcement Learning - ML in PL workshops

Jupyter Notebook

MultiPlaneNeRF

Python

mlls2015

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

Jupyter Notebook

HyperNeRFGAN

Generative model for 3D objects.

Python

Zero-Time-Waste

Python

ChiENN

Python

ProtoPShare

GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification

Python

LocoGAN

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

Python

dl-mo-2021

Deep Learning with Multiple Objectives: 2021 edition

Jupyter Notebook

MLinPL2019_cheminfo_workshops

Jupyter Notebook

wica

WICA: nonlinear weighted ICA

Jupyter Notebook

umwpl2021

The repository of the course "Machine Learning in Drug Design" at the Jagiellonian University, Kraków, Poland. The page is hosted by the machine learning research group GMUM.

Jupyter Notebook

ml2023-24

Materials for the 2022/23 edition of Machine Learning classes.

HTML

cwae

Cramer-Wold AutoEncoder

Jupyter Notebook

metstab-shap

Analyse metabolic stability predictions using SHapley Additive exPlanations.

Python

AppliedDL2019

Applied Deep Learning 2018/2019

Jupyter Notebook

ecml17

Code supporting "Flexible semi-supervised clustering with pairwise constraints reproduction" submission for ECML PKDD 2017

Python

cwae-pytorch

Implementation of CWAE paper in PyTorch

Python

nn2019

Sieci neuronowe 2018/19

nice_pytorch

ml2021-22

plugen

LoCondA

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

Python

feature-based-interpolation

Jupyter Notebook

TimeSeriesNotes

Jupyter Notebook

lcw-generator

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

Python

MANGO

Python

SpatialNetworks

[WIP] Implementation of Biologically-Inspired Spatial Neural Networks (https://arxiv.org/abs/1910.02776)

Python

OneFlow

Jupyter Notebook

mldd24

The repository for the course "Machine Learning in Drug Design" taught at the Jagiellonian University in 2024. The page is hosted by the machine learning research group GMUM.

HTML

seminars

Group Seminar Notebooks

Jupyter Notebook

ICICLE

Python

disentanglement-multitask

Disentanglement multi-task repostory

Jupyter Notebook

glebokie_uczenie_wprowadzenie

Jupyter Notebook

ml2022-23

Materials for the 2022/23 edition of Machine Learning classes

Jupyter Notebook

ml2017

Repository for course Machine Learning at JU

Jupyter Notebook

natural-language-processing-classes

Natural language processing classes. Winter 2018/2019.

InterContiNet

ProMIL

SONGs

r2-learner

Code supporting "On certain limitations of Recursive Representation Models" paper

Python

adversarial_examples_ae_layers

Python

HyperMask

HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning

Python

melm

Maximum Entropy Linear Manifold

Python

classification-optimal-network-depth

Python

set-aggregation

Python

PMLM

Probabilistic Multithreshold Linear Models

Python

AppliedDL2020

Applied Deep Learning 2020

Jupyter Notebook

gmum-workshops

Jupyter Notebook

clones_classification

Python

cyp-inhibitors

Python

interpretability-benchmark

Code for "Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations"

Python

MultiPlaneGan

Python

gmum/wzum-23

gmum

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