houmanb's repositories

agensgraph-docker

agensgraph-docker

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ATMSeer

Visual Exploration of Automated Machine Learning with ATMSeer

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auto_ml

In this repository we test AutoML approaches for time-series forecasting

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Auto_TS

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code

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automation-repo

Machine learning and process automation

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BeatTheBookie

Betting Strategy to Beat the Bookies at Football Games

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blog

Code and data for my blogs

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cloud-pricing-api

GraphQL API for cloud pricing. Contains over 3M public prices from AWS, Azure and GCP. Self-updates prices via an automated weekly job.

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countries-states-cities-database

🌍 World countries, states, regions, provinces, cities, towns in JSON, SQL, XML, YAML, and CSV. All Countries, States, Cities with ISO2, ISO3, Country Code, Phone Code, Capital, Native Language, Timezones, Latitude, Longitude, Region, Subregion, Flag Emoji, and Currency. #countries #states #cities

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Deep-Learning-for-IDS

Using NSL_KDD data

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docker-db-apex-dev

Oracle Database & APEX Developer Docker Image

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FEDOT

Automated modeling and machine learning framework FEDOT

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gatepy

FortiGate Automation using REST API

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ha-postgres-docker-stack

Postgres + patroni + wal-e + haproxy + etcd

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Hands-On-Intelligent-Agents-with-OpenAI-Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

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Hands-On-Machine-Learning-for-Algorithmic-Trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

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hctsa

Highly comparative time-series analysis

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loudml

Loud ML is the first open-source AI solution for ICT and IoT automation

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machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

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ml-workspace

đź›  All-in-one web-based IDE specialized for machine learning and data science.

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nested-sets-trees-model-yt

Holds the code for the videos about nested sets trees model in PostgreSQL and MongoDB

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network_anomaly_detection_deep_learning

This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.

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pg-dock

pg-dock cluster managment

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pgMail

Send email from inside a PostgreSQL Database.

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predict-loan-repayment

Predict whether a loan will be repaid using automated feature engineering.

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predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

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q-trading-pytorch

DQN stock trading pytorch implementation

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rapping-neural-network

Rap song writing recurrent neural network trained on Kanye West's entire discography

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sparkprophet

Sample application running fbprophet using spark

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TVC-Sim

An improved version of PIDTest- moved things around so that the main file was simpler and easier to follow along with

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