amgfernandes

amgfernandes's Stars

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.1k18743971

• HugoBlox/hugo-blox-builder

  🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！

  Language:HTML7.9k961.8k2.9k

• datawithdanny/sql-masterclass

  2.1k5513437

• NannyML/nannyml

  nannyml: post-deployment data science in python

  Language:Python1.8k1795129

• raphaelvallat/pingouin

  Statistical package in Python based on Pandas

  Language:Python1.6k31292136

• Slicer/Slicer

  Multi-platform, free open source software for visualization and image computing.

  Language:C++1.6k385.7k525

• elcorto/imagecluster

  Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

  Language:Python18191852

• cytomining/DeepProfiler

  Morphological profiling using deep learning

  Language:Python971322339

• haesleinhuepf/devbio-napari

  Language:Python4143312

• yapic/yapic

  Yet Another Pixel Classifier (based on deep learning)

  Language:Python326348

• open-neuroscience/open-neuroscience.github.io

  new implementation of Open Neuroscience website

  Language:Jupyter Notebook163405

• brainglobe/imio

  Loading and saving of image data.

  Language:Python10543

• FabrizioMusacchio/Python_Course

  This is the course material for the introductory course into Python basics for Data Scientists.

  Language:Jupyter Notebook10203

• BiAPoL/blog

  Most of us study and work at the Bio-image Analysis Technology Development group at the DFG Cluster of Excellence “Physics of Life” at the TU Dresden. We blog about image data science, knowledge exchange and research data management in the life sciences.

  95188

• FabrizioMusacchio/Python_Neuro_Practical

  This is the course material for the advanced course into Python for Data Scientists.

  Language:Jupyter Notebook9201

• mstemmer/kb-helper

  Streamlines scSeq data alignment with kallisto

  Language:Python5201

• clij/TrackMate-clij2

  A clij2 detector plugin for TrackMate

  Language:Java4401

• unccv/learning_to_see

  Computer vision course module following Learning to See YouTube series

  Language:Jupyter Notebook42112

• amgfernandes/campa

  Conditional Autoencoders for Multiplexed Pixel Analysis

  Language:Jupyter Notebook1100

• amgfernandes/orange3

  🍊 :bar_chart: :bulb: Orange: Interactive data analysis

  Language:Python1100