jnirschl Goto Github PK
Type: User
Company: Stanford University
Bio: Neuropathology fellow at Stanford Healthcare. His research interests include computer vision, digital pathology, and neurodegeneration.
Twitter: jnirsch
Type: User
Company: Stanford University
Bio: Neuropathology fellow at Stanford Healthcare. His research interests include computer vision, digital pathology, and neurodegeneration.
Twitter: jnirsch
A neural network API for biological image analysis and phenotypic profiling.
A logical, reasonably standardized, but flexible project structure for doing and sharing computer vision projects based on cookiecutter-data-science.
Hypermodern Python Cookiecutter
The Leek group guide to data sharing
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.
Deep Learning Fundamentals -- Code material and exercises
Notebooks for learning deep learning
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Biology-related fake data provider for Python Faker
my blog
kinesin-3_guedes-dias_2018
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Tools for computational pathology
Matlab code for machine learning algorithms in book PRML
The "Python Machine Learning (3rd edition)" book code repository
simple customizable risk scores in python
Scenic: A Jax Library for Computer Vision Research and Beyond
Supplemental code for quantification of myofiber pathology in SLC6A8 knockout mice.
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
StarDist - Object Detection with Star-convex Shapes
A paper on data tidying
Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 30+ benchmarks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.