Name: Michael Komodromos
Type: User
Company: Imperial College London
Bio: PhD. student in Statistics at Imperial College London
Location: London
Blog: mkomod.github.io
I'm passionate about building machine learning algorithms using using:
My research is focused around scalable Bayesian inference, here are some links to selected publications:
ad-optim
A wrapper around R's optimisation routines where function gradients are computed with auto-diff
animations-in-r
A few examples of making animations in R without additional packages.
auto-optim
General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver
causal_inference
cdeliv
Repo hosts front end for Cdeliv
chess
Chess written in C++
cinf
computer_arithmetic
R functions for computer arithmetic
conf
config files for servers
cpp-for-the-impatient
Notes from Overlands C++ for the Impatient
csv2tex
An executable python tool, used to convert csv files to LaTeX tables. These files can be saved and then imported into TeX documents
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
cv_docs
Computer Visoin and Data Science
dist
A collection of functions for sampling from distributions
django-organizations
:couple: Multi-user accounts for Django projects
django-rest-framework
Web APIs for Django. ⚡️
dpmm
dwb
dwm
dwm build
fad
Forward mode AD in R
genomicspapers
The Leek group guide to genomics papers
genosolver
GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.
getbib
Gets bibtex entry from doi or pdf
gp
gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
gsvb
Group sparse variaitonal Bayes
hamiltorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
handtracking
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
hestia
Crime database and maps
how-dat-works
Protocol documentation for Dat
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
