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Andrew Morgan (ByteSumoLtd)

ByteSumoLtd

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Company:ByteSumo Ltd.

Location:London, UK

Home Page:www.bytesumo.com

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Andrew Morgan's repositories

TrendCalculus-lua

The original reference implementation for TrendCalculus. Implemented in Lua.

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pyESN

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

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pytorch-esn

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

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CPT

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

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CPT-1

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

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deap

Distributed Evolutionary Algorithms in Python

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docker-nimiq-miner

Docker container with a Nimiq miner

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easyesn

Python library for Reservoir Computing using Echo State Networks

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EchoStateNetworks

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

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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.

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flint

A Time Series Library for Apache Spark

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geppy

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

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Hydrograph

A visual ETL development and debugging tool for big data

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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.

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karoo_gp

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

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Mastering-Spark-for-Data-Science

Mastering Spark for Data Science, published by Packt

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maximal-sequential-patterns-mining

A python wrapper for the VMSP algorithm for mining maximal sequential patterns provided by SPMF

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quantscript

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

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raw

The missing link between spreadsheets and data visualization

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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

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RL-GEP

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

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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.

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sma.awk

IncrementallyUpdatingAggregateFunctions, on all timeframes, in awk

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