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SRDTrans: Spatial redundancy transformer for self-supervised fluorescence image denoising
A set of functions to support the development of machine learning algorithms
Interactive deep learning whole-cell segmentation and thresholding using partial annotations
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Introduction to Scientific Programming and Machine Learning with Julia
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
Enveloppe helps you to publish your notes on a GitHub repository from your Obsidian Vault, for free!
Receiver Operating Characteristic (ROC) Curve for Julia Language
Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers
Unsupervised Learning for Image Registration
An open-source application for biological image analysis
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Deep Learning Library for Single Cell Analysis
ASHLAR: Alignment by Simultaneous Harmonization of Layer/Adjacency Registration
Conduct one-way and multi-way anova in Julia with GLM.jl
A versatile image analysis software for biological image-based quantification using machine learning, especially for whole slide imaging.
Programming of Simulation, Analysis, and Learning Systems Course Materials
Code for the 3d neuromast cell and nuclear shape project
Analysis of data produced by cvapipe for the variance paper
Support package for doing Calculus with Julia
A Julia package for producing publication quality figures based on Makie.jl.