ulrikeboehm Goto Github PK

2020aprilgitcourse

this repo supports the April 2020 git and GitHub course held "at" Janelia

alieninvasion

Game written with Pygame

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bhmm

Bayesian hidden Markov models toolkit

bioinformatics-with-python-cookbook-second-edition

Bioinformatics with Python Cookbook Second Edition, published by Packt

cbcurl

CBcurl: Control of Bacterial communities using reinforcement learning.

cell_profiler_workshop_2017

Cell Profiler workshop pipeline and data examples

challenge2016

Single-Molecule Localization Microscopy - Software Benchmarking - Challenge 2016

chromatinimaging

Super-resolution chromatin tracing 2018

computationalphysics

Computational Physics by Mark Newmann

cpp_primer2

cv_template_ulrikeboehm

datascience_socialscientists_r

datascience_with_java

deep-learning-coursework

My coursework for Deep Learning SS18 by Prof. Frank Noé @ FU Berlin

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

destatis

Analyzing various datasets of Federal Statistical Office (Destatis). It is a federal authority of Germany. It reports to the Federal Ministry of the Interior. The Office is responsible for collecting, processing, presenting and analyzing statistical information concerning the topics economy, society and environment.

flowdec

TensorFlow Deconvolution for Microscopy Data

gitgithubmasterclass

First repository of the LPA's Git and GitHub Masterclass

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hidden-markov-models-pymc3

Implementation of Hidden Markov Models in pymc3

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

html5-boilerplate

A professional front-end template for building fast, robust, and adaptable web apps or sites.

imagej-tensorflow

ImageJ/TensorFlow integration library

imglib2-advanced-workshop

ImgLib2 Advanced Workshop

imspectordocs

Imspector Public Documentation