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followers: 27.0 following: 13.0 repos: 20.0 gists: 0.0

Name: Harvey Bastidas

Type: User

Company: Ingeni-us Engineering

Bio: Engineering and Artificial Intelligence Enthusiast.

Twitter: ingeni_us

Location: Colombia

Blog: https://profile.codersrank.io/user/harveybc

Harvey Bastidas's Projects

agent-multi

Automated trading agent for an OpenAI Gym enviroment with multiple simultaneous trading of symbols(currency pairs) using separate action and observation timeseries.

One opensource tool for all your API needs.APIC is a free open-source solution that can help you in API Designing, API Testing (even during designing), API Documentation, Simulating your API response for the frontent team etc.

bcs_body_condition_score_cattle_prediction

body-condition-score_cattle prediction.

cownet

CowNet Open Source Initiative for Body condition scores (BCS) automatic

data-logger

Remote API for configurable and secure generic data logging and visualization.

don

Descentralized Optimization Network (DON) is a REST API that allows extending existing evolutionary algorithms to a decentralized architecture to provide collaboration, scalability, event log and fault-tolerance in an optimization process. It also allows external clients to make remote evaluations of data using the most optimized models.

feature-eng

Implements classes for feature engineering including one for Singular Spectrum Analysis (SSA) decomposition, SSA prediction or an heuristic function of an input dataset that may be used as training signal.

feature-extractor

Feature Extractor is a Python application for training an autoencoder for generating an encoder that can be used as feature extractor for dimensionality and noise reduction. Supports dynamic plugin integration, allowing users to extend its capabilities by adding custom encoder and decoder models.

feature-fusion

Merges feature-extractors outputs and reduce dimensionality into a desired output size, to serve as input size for a predictor (or another ML system). Uses plug-ins for the dimensionality reduction technique.

gym-agent

Evaluator of a previously trained Deep Conv Net agent on an OpenAI gym enviroment.

gym-fx

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

h5phet

Implementation of Neuroevolution of Augmenting Topologies(NEAT) using a distributed architecture for training ANNs with Forex application in MQL4

predictor

Predictor that uses a configurable plugin to make predictions for a configurable time horizon in a timeseries, using heterogeneus data as input, assumming that the input data is synchronized with the timeseries to be predicted.

preprocessor

Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.

pymssa

Python implementation of Multivariate Singular Spectrum Analysis (MSSA)

q-analyzer

Generate a csv file and a graphic with the correlations between an ideal training signal and each of the channels of a ssa decomposition of the close price and the sum of the channels with a variable number of channels. the objective is to decide the most convenient number of channels that to feed a trading agent in the gym-forex OpenAI environment.

harveybc Goto Github PK

Harvey Bastidas's Projects

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