JOSS Papers: Deep Learning

All Papers
4070
 Published Papers
3633
 Active Papers
437
published Published 10 days ago

Sparsity-preserving gradient utility tools for PyTorch

Python
@theo-barfoot
10.21105/joss.10072
published Published 22 days ago

IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources

Python
@ptresson
10.21105/joss.10329
published Published 30 days ago

VST: A Python-based deep learning tool for segmenting electron microscopy samples

Python
@fgdfgfthgr-fox
10.21105/joss.10084
published Published 3 months ago

zea: A Toolbox for Cognitive Ultrasound Imaging

Python
@tristan-deep
10.21105/joss.09881
published Published 3 months ago

DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

Python
@adityapt
10.21105/joss.09914
published Published 4 months ago

Crux.jl: Deep Reinforcement Learning in Julia

Julia
@mossr
10.21105/joss.09620
published Published 5 months ago

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

Python
@giswqs
10.21105/joss.09605
published Published 6 months ago

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

Python
@Yehor-Mishchyriak
10.21105/joss.09631
published Published 7 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 7 months ago

Fiats: Functional inference and training for surrogates

Fortran C
@rouson
10.21105/joss.08785
Displaying papers 1 - 10 of 81 in total

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