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Tozammel Hossain's Projects

maxent icon maxent

Maximum Entropy Modeling Toolkit for Python and C++

megaman icon megaman

megaman: Manifold Learning for Millions of Points

mireg-blogs icon mireg-blogs

Code for blog posts at MI Regression and Predictive Heuristics

ml-mnist icon ml-mnist

My solution to Machine Learning MNIST challenge 2017. [winner]

ml_cheat_sheet icon ml_cheat_sheet

My notes and superstitions about common machine learning algorithms

mlai icon mlai

Notes on machine learning and artificial intelligence.

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

ms_regress-matlab icon ms_regress-matlab

Repository for MS_Regress, a matlab package for estimation and simulation of markov regime switching models

nips2017 icon nips2017

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

nltsa icon nltsa

R package to accompany Nonlinear Time Series by Douc, Moulines, and Stoffer

nmt icon nmt

TensorFlow Neural Machine Translation Tutorial

nn-svg icon nn-svg

Publication-ready NN-architecture schematics.

npeet icon npeet

Non-parametric Entropy Estimation Toolbox

ntf-school icon ntf-school

Revealing mesocale structures of time-varying networks through non-negative tensor factorization

optml_course icon optml_course

EPFL Course - Optimization for Machine Learning - CS-439

plotpub icon plotpub

Publication quality plot in MATLAB.

pmdarima icon pmdarima

A package that brings R's beloved auto.arima to Python, making an even stronger case for why Python > R for data science.

poincare-embeddings icon poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

publicsafety icon publicsafety

Exploratory analysis and spatial correlation tests of whether jail inmate releases are associated with crime spikes in Chicago

pydlm icon pydlm

A python library for Bayesian dynamic linear models for time series data

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