drproduck Goto Github PK

approximate-spectral-clustering

Landmark-based Bipartite Diffusion Map

bayesian

beacon-chain

codebase

my common codebase for many projects

contests

courses

where I store all homework, practice and relevant stuff from my CS and Math Courses

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

deep-probabilistic-models

deepgraph

dnm

Variational inference for mixture of Dirichlet network distributions

drproduck.github.io

My personal webpage: https://drproduck.github.io

dynet-framework

A seq2seq/lm framework written for Dynet (Python). Plug and play your models!

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

equivocation-game

eth-beacon-simulations

Simulations for Etherem Beacon chain 2.0

hiddenmarkovmodel

Some inference algorithms (EM, Block Gibbs, ..) for trigramHMM with fixed underlying generative model.

humpback

where we hump back(s)

interactive-lab-hub

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

learning-tensorflow

getting used to tensorflow

machine-learning

machine learning repo including practice, implementation of known and own methods

nmt-grammar

picard-clone

projects

rectangularcipher

Solving a combination of substitution cipher and transposition cipher (on the same cipher text)

sa

wtf

sequence-memoizer

Public code which implements a Bayesian non-parametric sequence model known as the stochastic memoizer for sequence data.

small-projects

out of boredom

spectral-co-clustering

srlbdm

Stochastic Riemannian Landmark-Based Diffusion Map