Meghan Kane (meghankane)

meghankane

Geek Repo

Company:Max Planck Institute for Molecular Genetics

Location:Berlin

Home Page:meghan.bio

Twitter:@meghafon

Github PK Tool:Github PK Tool

Meghan Kane's repositories

ML-elective-resources

Resources for learning more for various ML concepts to supplement my ML elective lectures @ Hochschule Darmstadt (Summer Term 2019)

ABMMetastabilityAnalysis

Metastability analysis of opinion dynamics. Final project for Numerics IV: Modeling, Simulation, and Optimization.

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Cards

Awesome iOS 11 appstore cards in swift 4.

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cv

Trying to maintain an updated CV by keeping it public and in Markdown.

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d3flux

D3.js based visualizations of cobrapy metabolic models

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documents

Repository for HSF documents (e.g. technical notes)

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examples

A collection of example fastlane setups

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genre-melodies

Create genre-specific melodies using Magenta

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gitignore

A collection of useful .gitignore templates

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HomeKitty

A Vapor 2 website to easily browse HomeKit accessories.

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hugo-creative-portfolio-theme

Port of the creative portfolio theme to Hugo

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ios

iOS app for 5calls.org

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Learning-aftershock-location-patterns

Training, testing, evaluation codes for learning aftershock location patterns

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request-for-ios-ml-tools

Ideas for tools that would help the end-to-end process for integrating machine learning models into iOS apps

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requests-for-research

A living collection of deep learning problems

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silk-fibroin-protein-structure

Visualizing 2KHM, the C-terminal non-repetitive domain of the spider dragline silk protein for HTGAA week 4 protein design fundamentals.

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SSA-toggle-switch

Stochastic simulation algorithm (Gillespie's) to approximate solutions to the chemical master equation for chemical reaction networks with an example for a genetic toggle switch. Implemented as a part of the topics in computational dynamics seminar during summer semester 2021 at Freie Universität.

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SVESADS

Simple Visual Emergency Signal for Automated Detection from Space

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SwiftARlps

Fun with ARKit, sorry for the bad pun 🤭

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SwiftPython

Experiments in bridging Swift to Python

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tensorflow-recommendation-wals

An end-to-end solution for website article recommendations based on Google Analytics data. The model is based on matrix-factorization using the WALS algorithm, in TensorFlow, trained on Cloud ML Engine. Recommendations are served using App Engine Flex with Cloud Endpoints. Orchestration is performed using Airflow, running on Cloud Composer or GKE.

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ThinkComplexity2

Book and code for Think Complexity, 2nd edition

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