ernestcr

asteroids

Simple Asteroids clone written in JavaScript. Play here: http://bencrowder.github.io/asteroids/

azure-docs

Open source documentation of Microsoft Azure

Banca-Qulqi-Web

Página web de Banca Qulqi

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

ECR-High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

ECR-LSTM-Neural-Network-for-Time-Series-Prediction

LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data.

ECR-Pattern-Recognition-for-Forex-Trading

Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).

ECR-Tensorflow-for-Stock-Prediction

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

Predicting-Stock-Prices-with-Linear-Regression-ErnestoCR

SistemaDeAlertaSismica

Los movimientos telúricos suelen ir a un máximo de 10km/h , por lo que es posible mandar un mensaje de alerta temprana a los lugares medianamente alejados del epicentro decenas de segundos antes de que suceda un sismo. El sistema consiste en acelerómetros que son capaces de reportar sismos y enviar señales para que las sirenas empiezan a sonar para empezar la evacuación de edificios.

ernestcr/ECR-Pattern-Recognition-for-Forex-Trading

Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).

ernestcr/ECR-LSTM-Neural-Network-for-Time-Series-Prediction

LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data.

ernestcr/ECR-High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

ernestcr/ECR-Tensorflow-for-Stock-Prediction

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

ernestcr/Etherum_Futures

Etherum Futures

ernestcr/How-to-Predict-Stock-Prices-Easily-Demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

ernestcr/voice32-stock_market_indicators

The functions in this library accept the data in Pandas DataFrame format. The data should contain OPEN, HIGH, LOW, CLOSE and VOLUME columns. See the comments for each function for the list of required columns. Their default names are hardcoded in functions' params, however you may supply your own column names, if they are different. Sometimes you would also need to provide periods over which to calculate the indicator values. However, for all of them the default (recommended) values are pre-assigned.

ernestcr/100_Days_of_ML_Code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

ernestcr/21.09.24.R.Lab06-Objects_Classes

Laboratorio 06 de R Objects Classes

ernestcr/21.09.25.R.Lab08.Project_importingData

Laboratory 08 Importing Data in R

ernestcr/21.09.25.R.Lab10-RegularExpressions

Laboratory 10 - Regular Expressions in R

ernestcr/Awesome-AI

A curated list of awesome things related to artificial intelligence tools around the world wide web

ernestcr/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

ernestcr/awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

ernestcr/COVID_19_PERU

Intento de armar un handbook para centralizar información e iniciativas sobre el COVID-19

ernestcr/data_pob_identificada

Data población identificada

ernestcr/DataSciencePython

common data analysis and machine learning tasks using python

ernestcr/DeepNote_StockChart

DeepNote_StockChart

ernestcr/ECR-Machine-Learning-Stocks

Machine Learning Stocks: Using python and scikit-learn to make stock predictions

ernestcr/ECR-Stocky

Machine Learning Stock Trading Risk Analysis (Spring 2017)

ernestcr/Linear_Regression

Linear Regression

ernestcr/machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

ernestcr/MarketPlace

ernestcr/Multidimensional-LSTM-BitCoin-Time-Series-master

Multidimensional LSTM BitCoin Time-Series (master): Using multidimensional LSTM neural networks to create a forecast for Bitcoin price.

ernestcr/okama-dash

Python financial widgets with okama and Dash (plotly)

ernestcr/pallms

Payloads for Attacking Large Language Models

ernestcr/Python_Advanced

Python Advanced Laboratory

ernestcr/Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning

This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly

ernestcr/Yahoo-Finance_Stocklist-Scraper

Yahoo-Finance Stocklist-Scraper: Converts the full Yahoo Finance stocks list into a .csv file with ticker symbol, company name, exchange and country mapped

ernestcr/zipline

Zipline, a Pythonic Algorithmic Trading Library