JOSS Papers: deep learning

Published Papers

published Published almost 2 years ago

MapReader: Open software for the visual analysis of maps

Python Jupyter Notebook

10.21105/joss.06434

published Published almost 2 years ago

GluPredKit: A Python Package for Blood Glucose Prediction and Evaluation

Python

10.21105/joss.06904

published Published almost 2 years ago

HoverFast: an accurate, high-throughput, clinically deployable nuclear segmentation tool for brightfield digital pathology images

Python

10.21105/joss.07022

published Published almost 2 years ago

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

Julia

10.21105/joss.06144

published Published almost 2 years ago

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

Julia

10.21105/joss.06794

published Published almost 2 years ago

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

Python

10.21105/joss.06533

published Published almost 2 years ago

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

Python

10.21105/joss.06692

published Published about 2 years ago

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

Python

10.21105/joss.06157

published Published over 2 years ago

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

Jupyter Notebook Python

10.21105/joss.06224

published Published over 2 years ago

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

Python Jupyter Notebook

10.21105/joss.05549

Displaying papers 21 - 30 of 81 in total

← Previous Next →

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066