Pinned Repositories
agent-multi
Automated trading agent for an OpenAI Gym enviroment with multiple simultaneous trading of symbols(currency pairs) using separate action and observation timeseries.
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
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.
trading-signal
Generate an ideal trading singnal that can be used as training signal for an automated trading agent.
harveybc's Repositories
harveybc/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
harveybc/agent-multi
Automated trading agent for an OpenAI Gym enviroment with multiple simultaneous trading of symbols(currency pairs) using separate action and observation timeseries.
harveybc/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.
harveybc/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.
harveybc/trading-signal
Generate an ideal trading singnal that can be used as training signal for an automated trading agent.
harveybc/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.
harveybc/gym-agent
Evaluator of a previously trained Deep Conv Net agent on an OpenAI gym enviroment.
harveybc/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.
harveybc/preprocessor
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
harveybc/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/rl-optimizer
Reinforcement learning based optimizer with extensible architecture.
harveybc/data-logger
Remote API for configurable and secure generic data logging and visualization.
harveybc/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.
harveybc/H5PHET
Implementation of Neuroevolution of Augmenting Topologies(NEAT) using a distributed architecture for training ANNs with Forex application in MQL4
harveybc/SGDOC
Document management system with ISO 15489 field compatibility.
harveybc/apic
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.
harveybc/pymssa
Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
harveybc/shields
Concise, consistent, and legible badges in SVG and raster format
harveybc/BCS_Body_Condition_Score_Cattle_Prediction
body-condition-score_cattle prediction.
harveybc/CowNet
CowNet Open Source Initiative for Body condition scores (BCS) automatic