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Andrew Morgan's Projects

cpt icon cpt

This is the native Python implementation of CPT(compact Prediction Tree)

cpt-1 icon cpt-1

Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction (cython implementation)

deap icon deap

Distributed Evolutionary Algorithms in Python

easyesn icon easyesn

Python library for Reservoir Computing using Echo State Networks

echostatenetworks icon echostatenetworks

Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".

echotorch icon echotorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

flint icon flint

A Time Series Library for Apache Spark

geppy icon geppy

A framework for gene expression programming (an evolutionary algorithm) in Python

hydrograph icon hydrograph

A visual ETL development and debugging tool for big data

incal-spark_ml icon incal-spark_ml

Extension of Spark ML library for the temporal domain served by delay line and reservoir computing kernels/transformers, several classification and regression models, and a convenient customizable pipeline execution.

karoo_gp icon karoo_gp

A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

pyesn icon pyesn

Echo State Networks in Python, with Activations on the Hyper-Sphere, for DEAP based AutoML

pytorch-esn icon pytorch-esn

An Echo State Network module for PyTorch, with evolutionary hyper-parameter tuning

quantscript icon quantscript

Automatically exported from code.google.com/p/quantscript

raw icon raw

The missing link between spreadsheets and data visualization

regexgenerator icon regexgenerator

This project contains the source code of a tool for generating regular expressions for text extraction: 1. automatically, 2. based only on examples of the desired behavior, 3. without any external hint about how the target regex should look like

rl-gep icon rl-gep

A hybridization method of genetic programming and reinforcement learning for symbolic regression

scalable-data-science icon scalable-data-science

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

sma.awk icon sma.awk

IncrementallyUpdatingAggregateFunctions, on all timeframes, in awk

trendcalculus-lua icon trendcalculus-lua

The original reference implementation for TrendCalculus. Implemented in Lua.

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