jnirschl's repositories
cell_decoder
A neural network API for biological image analysis and phenotypic profiling.
cookiecutter-computer-vision
A logical, reasonably standardized, but flexible project structure for doing and sharing computer vision projects based on cookiecutter-data-science.
kinesin-3_guedes-dias_2018
kinesin-3_guedes-dias_2018
cookiecutter-hypermodern-python
Hypermodern Python Cookiecutter
datasharing
The Leek group guide to data sharing
detecting-mitigating-bias-base
This notebook represents my personal code, notes, and reflections for the Manning liveProject titled "Mitigate Machine Learning Bias: Shap and AIF360" by Michael McKenna. Any citations or references to original course material retain the original author copyright and ownership. Personal code is licensed under the MIT License.
dl-fundamentals
Deep Learning Fundamentals -- Code material and exercises
dlaicourse
Notebooks for learning deep learning
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
faker-biology
Biology-related fake data provider for Python Faker
karpathy.github.io
my blog
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
pathml
Tools for computational pathology
py_ml_3
The "Python Machine Learning (3rd edition)" book code repository
risk-slim
simple customizable risk scores in python
scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
stanford-CS229
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
stardist
StarDist - Object Detection with Star-convex Shapes