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dpmm

Dirichlet process mixture model code in Matlab. Sampling and variational.

dtw

DTW (Dynamic Time Warping) python module

elbow

Flexible Bayesian inference using TensorFlow

equalitysp500

Reference code to Portfolio Selection: The Power of Equal Weight

extremenn

a R implementation of extreme learning machine

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

gerber

Gerber robust statistics for portfolio optimization

gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

go

The Open Source Data Science Masters

gpu_smc

A GPU implementation of the particle filter with Metropolis Hastings

hellopg

An R package skeleton for incorporating the Polya-Gamma distribution into your own code or package.

hmc_gpu

Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

job_shceduler

Cron Job System

kalman

Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3

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.

kdd_cup_2018

KDD CUP 2018

linearresponsevariationalbayesnips2015

Code and text for our NIPS 2015 paper on linear response variational Bayes

lrvblogitglmm

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

markdown-mathjax

Live markdown editor based on MathJax and Marked

mckl

Monte Carlo Kernel Library

mdp-dp-rl

Markov Decision Processes, Dynamic Programming and Reinforcement Learning

ml_assign

ml_datasets

machine learning datasets

mlinterp

Fast arbitrary dimension linear interpolation in C++

mvnmixturelrvb

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

neon

NErvana's pythON based Deep Learning Framework