boersmamarcel

boersmamarcel's Stars

• mui/material-ui

  Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.

  Language:TypeScript94.3k1.3k19.7k32.4k

• isocpp/CppCoreGuidelines

  The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

  Language:CSS43k2k1.2k5.4k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.9k1.4k2457.9k

• deviantony/docker-elk

  The Elastic stack (ELK) powered by Docker and Compose.

  Language:Shell17.5k3406006.8k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4633284.2k

• google/deepdream

  13.2k89603.2k

• pymc-devs/pymc

  Bayesian Modeling and Probabilistic Programming in Python

  Language:Python8.8k2253.3k2k

• HubPress/hubpress.io

  A web application to build your blog on GitHub

  Language:CSS2.8k613472.6k

• mikeizbicki/HLearn

  Homomorphic machine learning

  Language:Haskell1.6k14160134

• ogrisel/parallel_ml_tutorial

  Tutorial on scikit-learn and IPython for parallel machine learning

  Language:Jupyter Notebook1.6k1834599

• lensacom/sparkit-learn

  PySpark + Scikit-learn = Sparkit-learn

  Language:Python1.2k8961255

• BIDData/BIDMach

  CPU and GPU-accelerated Machine Learning Library

  Language:Scala91587137168

• torch/tutorials

  A series of machine learning tutorials for Torch7

  Language:Jupyter Notebook6235546312

• bayesnet/bnt

  Bayes Net Toolbox for Matlab

  Language:MATLAB4735576249

• binder-project/binder

  reproducible executable environments

  443289538

• timbod7/haskell-chart

  A 2D charting library for haskell

  Language:Haskell4322016185

• everpeace/vagrant-mesos

  Spin up your Mesos Cluster with Vagrant! (VirtualBox and AWS)

  Language:Ruby4313257138

• parallella/parallella-examples

  Community created parallella projects

  Language:VHDL390908143

• jbarrow/LambdaNet

  Purely functional artificial neural network library implemented in Haskell.

  Language:Haskell37845938

• DEAP/notebooks

  Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

  Language:Jupyter Notebook22823182

• alpmestan/hnn

  haskell neural network library

  Language:Haskell11217314

• natekupp/ffx

  Fast Function Extraction

  Language:Python80103297

• idontgetoutmuch/NumMethHaskell

  Numerical Methods in Haskell with Applications to Data Analysis, Finance and Physics

  Language:HTML561817

• andreasjansson/simple-aws-gpu-setup

  Probably the simplest way to get a GPU instance on AWS up and running and ready with Theano

  Language:Emacs Lisp46357

• tayzlor/vagrant-puppet-mesosphere

  Spin up a Mesosphere cluster with Vagrant (Virtualbox / AWS / Digital Ocean)

  Language:Ruby3681113

• soumith/nextml

  357016

• idontgetoutmuch/HasBayes

  Bayesian Analysis in Haskell

  Language:Haskell12704

• andreyantipov/kubernetes-coreos-do

  Quick guide for kubernetes (v1.0.5) on core os on digital ocean

  10108

• mjsottile/hsgep

  Haskell Gene Expression Programming Library

  Language:Mathematica10104

• subalary/Lotka-Volterra

  Lotka-Volterra population model solved using the Euler method.

  Language:Matlab3300