kmader / Quantitative-Big-Imaging-2019
The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2019
☆27Updated 4 years ago
Alternatives and similar repositories for Quantitative-Big-Imaging-2019:
Users that are interested in Quantitative-Big-Imaging-2019 are comparing it to the libraries listed below
- (Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ…☆52Updated 5 years ago
- Using Python for image processing and analysis☆32Updated 7 years ago
- Prototype implementation of napari-integrated CNN training viewer☆14Updated 3 months ago
- Applying deep learning for very early recognition of pluripotent stem cell differentiation☆10Updated 6 years ago
- ☆40Updated 5 years ago
- czi reader from https://www.lfd.uci.edu/~gohlke/code/czifile.py.html☆15Updated 6 years ago
- pyHPC workshop☆11Updated 2 years ago
- Integrated Cell project implemented in pytorch☆44Updated last year
- CytoData 2016 – origin story☆18Updated 7 years ago
- A collection of tools for the analysis of biological data☆12Updated 9 years ago
- Accelerating Single Molecule Localization Microscopy with Deep Learning☆51Updated 2 years ago
- Running ImJoy plugins in Jupyter notebooks☆11Updated 2 years ago
- The RPC library used in ImJoy.☆24Updated 8 months ago
- Deployment infrastructure for the Image Data Resource☆13Updated last month
- Python tools for ImageJ☆13Updated 3 years ago
- ☆12Updated 4 years ago
- ImageJ/TensorFlow integration library☆25Updated 2 years ago
- 3D virtual staining with 2D and 2.5D U-Nets☆29Updated last year
- AICS ML Segmentation (One-Way) Mirror☆27Updated 3 years ago
- Resources for teaching/preparing to teach bioimage analysis☆54Updated this week
- ☆12Updated 7 months ago
- Plugins collated for the Fiji Cookbook☆26Updated 2 years ago
- A library to facilitate machine learning on multi-dimensional images.☆81Updated this week
- A general illumination correction method for optical microscopy.☆39Updated 3 years ago
- C++ library and command-line software for processing and analysis of terabyte-scale volume images locally or on a computing cluster.☆54Updated this week
- Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.☆28Updated 6 years ago
- NEUBIAS Academy @Home: Interactive Bioimage Analysis with Python and Jupyter☆62Updated last year
- Python package to export tensorflow models as DeepImageJ bundled models☆17Updated 2 years ago
- Automatically exported from code.google.com/p/iocbio☆17Updated 9 years ago
- a free, open-source web app for annotating, training, and evaluating image understanding algorithms☆25Updated 3 years ago