JOSS Papers: deep learning

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2964
 Published Papers
2646
 Active Papers
318
published Published about 1 month ago

ShOpt.jl: A Julia Package for Empirical Point Spread Function Characterization of JWST NIRCam Data

Julia
@EdwardBerman
10.21105/joss.06144
published Published about 1 month ago

AutoEncoderToolkit.jl: A Julia package for training (Variational) Autoencoders

Julia
@mrazomej
10.21105/joss.06794
published Published about 2 months ago

IKPLS: Improved Kernel Partial Least Squares and Fast Cross-Validation Algorithms for Python with CPU and GPU Implementations Using NumPy and JAX

Python
@Sm00thix
10.21105/joss.06533
published Published about 2 months ago

scikit-eo: A Python package for Remote Sensing Data Analysis

Python
@ytarazona
10.21105/joss.06692
published Published 3 months ago

TrackSegNet: a tool for trajectory segmentation into diffusive states using supervised deep learning

Python
@hkabbech
10.21105/joss.06157
published Published 6 months ago

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography

Jupyter Notebook Python
@fedepup
10.21105/joss.06224
published Published 6 months ago

OmniTrax: A deep learning-driven multi-animal tracking and pose-estimation add-on for Blender

Python Jupyter Notebook
@FabianPlum
10.21105/joss.05549
published Published 6 months ago

DICaugment: A Python Package for 3D Medical Imaging Augmentation

Python
@jjmcintosh
10.21105/joss.06120
published Published 7 months ago

DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning

Python Jupyter Notebook
@gcroci2
10.21105/joss.05983
published Published 10 months ago

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

Python
@NicoRenaud
10.21105/joss.05472
Displaying papers 1 - 10 of 58 in total

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ISSN 2475-9066