JOSS Papers: Deep Learning

All Papers
3960
 Published Papers
3411
 Active Papers
549
published Published 8 days ago

GeoAI: A Python package for integrating artificial intelligence with geospatial data analysis and visualization

Python
@giswqs
10.21105/joss.09605
published Published 19 days ago

PureML: a transparent NumPy-only deep learning framework for teaching and prototyping

Python
@Yehor-Mishchyriak
10.21105/joss.09631
published Published about 2 months ago

IBBI: A Python package for the detection and classification of bark and ambrosia beetles

Jupyter Notebook Python
@ChristopherMarais
10.21105/joss.08796
published Published 2 months ago

Fiats: Functional inference and training for surrogates

Fortran C
@rouson
10.21105/joss.08785
published Published 3 months ago

DeepInverse: A Python package for solving imaging inverse problems with deep learning

Python
@tachella
10.21105/joss.08923
published Published 3 months ago

reflectorch: a deep learning package for X-ray and neutron reflectometry

Python
@valentinsingularity
10.21105/joss.08169
published Published 4 months ago

DeepTrees: Tree Crown Segmentation and Analysis in Remote Sensing Imagery with PyTorch

Python Jupyter Notebook
@thisistaimur
10.21105/joss.08056
published Published 7 months ago

EvoVis: Dashboard for Visualizing Evolutionary Neural Architecture Search Algorithms

Python
@leadang42
10.21105/joss.07728
published Published 7 months ago

Lighter: Configuration-Driven Deep Learning

Just Python
@ibro45
10.21105/joss.08101
published Published 8 months ago

gibbonNetR: an R Package for the Use of Convolutional Neural Networks for Automated Detection of Acoustic Data

R
@DenaJGibbon
10.21105/joss.07250
Displaying papers 1 - 10 of 75 in total

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ISSN 2475-9066