:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zankov, Dmitry, Polishchuk, Pavlo, Sobieraj, Michal, Barbatti, Mario
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.01287
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors
by: Martinka, Jakub, et al.
Published: (2025)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)

genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
by: Kato, Masahiro
Published: (2026)

$\textit{lucie}$: An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository
by: Ge, Kenneth, et al.
Published: (2024)

dnamite: A Python Package for Neural Additive Models
by: Van Ness, Mike, et al.
Published: (2025)

regAL: Python Package for Active Learning of Regression Problems
by: Surzhikova, Elizaveta, et al.
Published: (2024)

OGBoost: A Python Package for Ordinal Gradient Boosting
by: Sharabiani, Mansour T. A., et al.
Published: (2025)

Simulation-based Inference with the Python Package sbijax
by: Dirmeier, Simon, et al.
Published: (2024)

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package
by: Rasti, Behnood, et al.
Published: (2023)

NUBO: A Transparent Python Package for Bayesian Optimization
by: Diessner, Mike, et al.
Published: (2023)

BARMPy: Bayesian Additive Regression Models Python Package
by: Van Boxel, Danielle
Published: (2024)

bde: A Python Package for Bayesian Deep Ensembles via MILE
by: Arvanitis, Vyron, et al.
Published: (2026)

eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles
by: Bennett, Jamie J. R., et al.
Published: (2024)

A multilevel Monte Carlo algorithm for SDEs driven by countably dimensional Wiener process and Poisson random measure
by: Sobieraj, Michał
Published: (2023)

hyppo: A Multivariate Hypothesis Testing Python Package
by: Panda, Sambit, et al.
Published: (2019)

RobPy: a Python Package for Robust Statistical Methods
by: Leyder, Sarah, et al.
Published: (2024)

scikit-fda: A Python Package for Functional Data Analysis
by: Ramos-Carreño, Carlos, et al.
Published: (2022)

DeepOnto: A Python Package for Ontology Engineering with Deep Learning
by: He, Yuan, et al.
Published: (2023)

EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
by: Liu, Zewen, et al.
Published: (2024)

Deep Fast Machine Learning Utils: A Python Library for Streamlined Machine Learning Prototyping
by: Prezja, Fabi
Published: (2024)

LLM-IE: A Python Package for Generative Information Extraction with Large Language Models
by: Hsu, Enshuo, et al.
Published: (2024)

Analysing Python Machine Learning Notebooks with Moose
by: Mignard, Marius, et al.
Published: (2025)

UQLM: A Python Package for Uncertainty Quantification in Large Language Models
by: Bouchard, Dylan, et al.
Published: (2025)

PyDPF: A Python Package for Differentiable Particle Filtering
by: Brady, John-Joseph, et al.
Published: (2025)

sQUlearn -- A Python Library for Quantum Machine Learning
by: Kreplin, David A., et al.
Published: (2023)

A Python library for efficient computation of molecular fingerprints
by: Szafarczyk, Michał, et al.
Published: (2024)

PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization
by: Meir, Tomer, et al.
Published: (2022)

mtslearn: Machine Learning in Python for Medical Time Series
by: Jiang, Zhongheng, et al.
Published: (2026)

MissMecha: An All-in-One Python Package for Studying Missing Data Mechanisms
by: Zhou, Youran, et al.
Published: (2025)

Tsururu: A Python-based Time Series Forecasting Strategies Library
by: Kostromina, Alina, et al.
Published: (2025)

Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023)

xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth
by: Baer, Gregor
Published: (2026)

N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
by: Chin, Caleb, et al.
Published: (2025)

spd-metrics-id: A Python Package for SPD-Aware Distance Metrics in Connectome Fingerprinting and Beyond
by: Uddin, Kaosar
Published: (2025)

StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables
by: Morin, Sacha, et al.
Published: (2023)

PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series
by: Du, Wenjie, et al.
Published: (2023)

Multi-Instance Partial-Label Learning with Margin Adjustment
by: Tang, Wei, et al.
Published: (2025)

CapyMOA: Efficient Machine Learning for Data Streams and Online Continual Learning in Python
by: Gomes, Heitor Murilo, et al.
Published: (2025)

On Learning Latent Models with Multi-Instance Weak Supervision
by: Wang, Kaifu, et al.
Published: (2023)

Leveraging Per-Instance Privacy for Machine Unlearning
by: Sepahvand, Nazanin Mohammadi, et al.
Published: (2025)