Kosti's repositories
adaptive-importance-sampling-BN
Experimental code: adaptive importance sampling for bayesian networks.
Linear-Perceptron
An IPython notebook with an implementation of the linear perceptron algorithm.
parallel-kmc-gpu
Experimental implementation of parallel Kinetic Monte Carlo on NVidia cards via CUDA-C.
KernelHerding
Kernel Herding for probability density estimation
latex-notes-template
This is just a template for my latex notes.
concentration-information-bounds
Showcasing the computation of the concentration-information bounds for the bias of an observable.
markdown-cv
a simple template to write your CV in a readable markdown file and use CSS to publish/print it.
bayesian-opt-for-fun
The simplest implementation of Bayesian optimisation.
can-you-hear-the-shape-of-a-digit
Experiments with Dirichlet Laplacian eigenvalues and MNIST (just for fun).
Comm-Calc-Sympy
Example of calculations in IPython involving exponential of operators and Lie brackets.
debias
Implementation of debiasing algorithm in "Debiasing Representations by Removing Unwanted Variation Due to Protected Attributes" on ProPublica's COMPAS data set
DiscriminativeActiveLearning
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
LambdaRankNN
LambdaRank Neural Network model using Keras.
myblog
Mostly not abstract nonsense. This blog is "off the air".
number-guess
Guessing numerical sequences for a Kaggle competition.
obsidian-lab-py
obsidian-lab, python
ParticleFlowBayesRule
Pytorch implementation for "Particle Flow Bayes' Rule"
set-phasers-to-stan
Examples, slides, and other stuff relating to STAN.
SPPARKS
Kinetic Monte Carlo Simulator
stan
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
stochastic-simulations-class
IPython notebooks that I used to write some of my homework for a class on stochastic simulations.
TwinNetworks
A library for handling Structural Causal Models and performing interventional and counterfactual inference on them.
Utterson
Jekyll's loyal companion
vortical-mcmc
An implementation of an irreversible MCMC sampler. See README for references.