lushaowen Goto Github PK

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

bap

Bayesian Analysis with Python (Second Edition)

causality

Kaggle's Causality Challenge Solution for team FirfiD

decomposets

A highly generic time series decomposition algorithm, applicable to temporal sequence segmentation (e.g., video, speech, motion sequences).

deeplearning_financial

Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory

dipcasegment

To segment a multivariate time series using the DiPCA algorithm.

fcmlcode

gpu-accelerated-point-cloud-registration-using-hierarchical-gmm

incubator-mxnet

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

lgc

Learning with Local and Global Consistency algorithm

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

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

pointgmm

prmlt

Matlab code for machine learning algorithms in book PRML

smir

ICML 2013. Semi-supervised classifier with squared-loss mutual information regularization

tennessee-eastman-profbraatz

The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).