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pydaal-getting-started

Introduction and tutorials for using PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library

pykiteconnect

The official Python client library for the Kite Connect trading APIs

scikit-learn

scikit-learn: machine learning in Python

scikit-multiflow

A multi-output/multi-label and stream data framework. Inspired by MOA and MEKA, following scikit-learn's philosophy.

shiny-examples

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

spark-sklearn

Scikit-learn integration package for Spark

spark-timeseries

A library for time series analysis on Apache Spark

sparkdeepmlpgadow30

A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stock-prediction-dual-attention-based-rnn-

Financial time series forecast using dual attention RNN

supylearner

An implementation of the SuperLearner algorithm in Python based on scikit-learn.

tensorflow

Computation using data flow graphs for scalable machine learning

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tsfresh

Automatic extraction of relevant features from time series:

tutorials

机器学习相关教程

visualization

wavelet-denoising

A script to use the PyWavelet library to perform denoising on a signal using a multi-level signal decomposition using a discrete wavelet transform.

wsae-lstm

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.