arkansertan

arkansertan's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84k1.7k46.6k22.6k

• keras-team/keras

  Deep Learning for humans

  Language:Python62.1k1.9k12.2k19.5k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.7k5822.8k11.7k

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.4k1715311.2k

• scikit-image/scikit-image

  Image processing in Python

  Language:Python6.1k1862.7k2.2k

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python3k30121344

• napari/napari

  napari: a fast, interactive, multi-dimensional image viewer for python

  Language:Python2.2k463k422

• google/neuroglancer

  WebGL-based viewer for volumetric data

  Language:TypeScript1.1k49348299

• mdozmorov/scRNA-seq_notes

  A list of scRNA-seq analysis tools

  Language:R635281146

• AllenInstitute/bmtk

  Brain Modeling Toolkit

  Language:Python2742710388

• vanvalenlab/intro-to-deepcell

  An introduction to deepcell and deep learning

  Language:Jupyter Notebook141101626

• BlueBrain/NeuroM

  Neuronal Morphology Analysis Tool

  Language:Python1042727855

• vessap/vessap

  Experimental code and examples for: Automated analysis of whole brain vasculature using machine learning

  Language:Rich Text Format6362513

• CellProfiler/CellProfiler-plugins

  Community-contributed and experimental CellProfiler modules.

  Language:Python58109867

• sofroniewn/napari-training-course

  Lectures for a napari training course

  Language:Jupyter Notebook508321

• pycam/python-basic

  Python3 teaching materials for basic introduction to Python (2 days)

  Language:Jupyter Notebook4212851

• lens-biophotonics/ZetaStitcher

  ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.

  Language:Python39677

• ElementoLab/utag

  Language:Python337710

• stegmaierj/Cellpose3D

  3D Extension of the Cellpose Algorithm by Stringer et al., 2021.

  Language:Python31246

• vanvalenlab/deepcell-tracking

  Track cells and build cell lineages

  Language:Python286326

• guiwitz/PyImageCourse_beginner

  Course to learn basics of Python for image processing using Jupyter Notebooks

  Language:Jupyter Notebook264011

• SinclairLab/frailty

  Frailty analysis including FRIGHT age and AFRAID clock

  Language:Jupyter Notebook136

• pharmbio/phil_LNP_modelling

  Python code and jupyter notebooks to accompany the manuscript "Deep learning models for lipid-nanoparticle-based drug delivery"

  Language:Jupyter Notebook11202

• dleninja/mf-av-net

  Multimodal Fusion for Deep Learning for Artery-Vein Segmentation using OCT and OCTA. The implementation is using Python and TensorFlow.

  Language:Python6301

• giselehbm/LCI_Workshop_2023

  Language:ImageJ Macro3102

• AhmetCanSolak/ahmetcansolak.github.io

  My static personal web page

  Language:CSS1200

• AhmetCanSolak/aydin

  Aydin — User-friendly, Fast, Self-Supervised and Unsupervised Image Denoising for All.

  Language:Python1100

• AhmetCanSolak/napari

  napari: a fast, interactive, multi-dimensional image viewer for python

  Language:Python110

• arkansertan/NeuroM

  Neuronal Morphology Analysis Tool

  Language:Python1100

• arkansertan/OpSeF-IV

  Language:Jupyter Notebook10