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Name: Alexej Gossmann
Type: User
Company: FDA/CDRH/OSEL/ Division of Imaging, Diagnostics, and Software Reliability
Name: Alexej Gossmann
Type: User
Company: FDA/CDRH/OSEL/ Division of Imaging, Diagnostics, and Software Reliability
GIF images generated in R showing the contours of several penalty functions in statistics
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images
My personal notes on programming languages, frameworks, DevOps, etc.
course.fast.ai 2022 part 2 - under construction
My solutions to the Stanford CS231n (Spring 2018) assignments
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Getting started with diffusion
FDR-corrected sparse canonical correlation analysis
Flowchart of statistical models
The ggplot2 book
quick&dirty gradient descent with and without backtracking line search, written in Ruby
Group SLOPE (Group Sorted L1 Penalized Estimation)
grpSLOPE R package usage examples
Monte Carlo methods for Group SLOPE
group SLOPE - statistical method for explanatory variables groups selection
Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS 2019.
library of domain generalization for deep learning
Minimization algorithms on pure Ruby
Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout. Miryoku Babel generates the layer data source files for Miryoku implementations from a single source.
Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout. Miryoku QMK is the Miryoku implementation for QMK.
Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout. Miryoku ZMK is the Miryoku implementation for ZMK.
Statistical mixed effects models in Ruby
Code from this repository is moved to https://github.com/agisga/mixed_models
A presentation about network-based penalized regression methods
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.