JOSS Papers: Machine Learning

Published Papers

published Published 3 days ago

pactus: A Python framework for trajectory classification

Python

10.21105/joss.05738

published Published 5 days ago

Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometric

Python

10.21105/joss.05451

published Published 11 days ago

MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPS

Python C++

10.21105/joss.05620

published Published 19 days ago

Molearn: a Python package streamlining the design of generative models of biomolecular dynamics

Python

10.21105/joss.05523

published Published about 1 month ago

GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Dockerfile Python Jupyter Notebook

10.21105/joss.05025

published Published about 1 month ago

Ethical Smart Grid: a Gym environment for learning ethical behaviours

Python

10.21105/joss.05410

published Published about 1 month ago

occupationMeasurement: A Comprehensive Toolbox for Interactive Occupation Coding in Surveys

R Dockerfile

10.21105/joss.05505

published Published about 2 months ago

GMP-Featurizer: A parallelized Python package for efficiently computing the Gaussian Multipole features of atomic systems

Python C++ C Batchfile

10.21105/joss.05476

published Published about 2 months ago

EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models

Python Batchfile

@PetervanLunteren

10.21105/joss.05581

published Published 2 months ago

AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification

Python C++ C G-code GAP

10.21105/joss.05035

Displaying papers 1 - 10 of 155 in total

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