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artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

cxl_notes

Study Notes

dailystreamflowforecastautoreg

Code repository for "Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting"

datasets

A collection of datasets of ML problem solving

deepesn

Deep Echo State Network (DeepESN) Python library

elmanfis

Extreme Learning Adaptive Neuro-Fuzzy Inference System (ELANFIS)

evolopy

feature-engineering-handbook

A practical feature engineering handbook

gluon-ts

Probabilistic time series modeling in Python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

lssvr

Least Squares Support Vector Regression

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

mifs

Parallelized Mutual Information based Feature Selection module.

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

time-series-forecasting-simulink

This content shows how to implement time series models provided by Deep Learning Toolbox and Econometrics Toolbox on Simulink model and to update them and forecast value at next time step recursively.

time-series-forecasting-using-deep-learning-for-generation-data

The Project was a study of how closely time series predictions and forecasting can be made on stochastic time models modelled using different artificial neural networks namely LSTM and GRU.

xueshu_spider

A spider to crawl papers by xueshu.baidu.com, and download papers