jnirschl Goto Github PK

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.

cookiecutter-hypermodern-python

Hypermodern Python Cookiecutter

datasharing

The Leek group guide to data sharing

deity

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

jnirschl

karpathy.github.io

my blog

kinesin-3_guedes-dias_2018

kinesin-3_guedes-dias_2018

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mito_hcm

pathml

Tools for computational pathology

pathvqa

prmlt

Matlab code for machine learning algorithms in book PRML

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

slc6a8_ko

Supplemental code for quantification of myofiber pathology in SLC6A8 knockout mice.

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

tidy-data

A paper on data tidying