JOSS Papers: deep learning

All Papers
2511
 Published Papers
2242
 Active Papers
269
published Published 8 days ago

QMCTorch: a PyTorch Implementation of Real-Space Quantum Monte Carlo Simulations of Molecular Systems

Python
@NicoRenaud
10.21105/joss.05472
published Published about 2 months ago

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs

Python
@diningphil
10.21105/joss.05713
published Published 3 months ago

samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Python
@giswqs
10.21105/joss.05663
published Published 3 months ago

FrESCO: Framework for Exploring Scalable Computational Oncology

Python Jupyter Notebook
@aspannaus
10.21105/joss.05345
published Published 4 months ago

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

Python
@PetervanLunteren
10.21105/joss.05581
published Published 4 months ago

ViMag: A Visual Vibration Analysis Toolbox

JavaScript
@RLado
10.21105/joss.05491
published Published 4 months ago

Physics-Informed Neural networks for Advanced modeling

Python
@ndem0
10.21105/joss.05352
published Published 5 months ago

DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval

Python Jupyter Notebook
@ayuei
10.21105/joss.05017
published Published 5 months ago

pytorch-widedeep: A flexible package for multimodal deep learning

JavaScript Python
@5uperpalo
10.21105/joss.05027
published Published 6 months ago

Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses

C Fortran Python
@robcaulk
10.21105/joss.05291
Displaying papers 1 - 10 of 49 in total

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ISSN 2475-9066