simone codeluppi's repositories
amazon-sagemaker-notebook-instance-lifecycle-config-samples
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
ashlar
ASHLAR: Alignment by Simultaneous Harmonization of Layer/Adjacency Registration
binary-code-generator
generating A(n, d) codes in python
conda-docker
Create minimal docker images from conda environments
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
dl-workshop
A deep learning workshop, done from scratch, taught without any frameworks.
elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)
FISHscale
Spatial analysis of FISH data
gs-quant
Python toolkit for quantitative finance
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jupyterlab-configuration
Containerized and Script-controlled JupyterLab Project Environment
jupyterlab_templates
Support for jupyter notebook templates in jupyterlab
Learn-Vim
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for đź“–
nd2
Full-featured nd2 (Nikon NIS Elements) file reader for python. With outputs to numpy, dask, and xarray
nuclei_cell_detect
Instance segmentation for nuclei and cells based on facebookresearch maskrcnn benchmark
postcode
Decoding of image-based spatial transcriptomics
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pysmFISH_auto
Version of the pysmFISH pipeline that run without human in the loop
seqfold
pythonic nucleic acid folding
snakemake-workflow-template
A template for standard compliant snakemake-workflows
SpatialViz
Code for "Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease"
stardist_pytorch
StarDist PyTorch
storm-analysis
STORM movie analysis code
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
ZeroCostDL4Mic
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy