wesseldr Goto Github PK
Name: WesdR
Type: User
Company: CRESCE b.v.
Twitter: CRESCE
Location: Europe
Name: WesdR
Type: User
Company: CRESCE b.v.
Twitter: CRESCE
Location: Europe
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Local DevSetup Airflow Kubernetes
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.
Deep Reinforcement Learning applied to trading
Deep Reinforcement Learning based Trading Agent for Bitcoin
Interactive Brokers' Trader Workstation (TWS) running in Docker
Cloud-based algorithmic trading with Interactive Brokers
Interactive Brokers api for R
R API to Interactive Brokers Trader Workstation
Functions for executing trading strategies via the API of Interactive Brokers
LiveZilla includes a live chat software with multi-website support, visitor monitoring and a help desk system that allows you to not only integrate emails that you receive from customers but also messages from Twitter and Facebook in your ticket system.
Tensorflow testing on m1 Mac
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Supporting files for the Manageable Puppet Infrastructure course on udemy
Releases of the BitMEX <-> NinjaTrader Adapter.
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Setup script to install the prometheus stack on a synology NAS
Visualisation for auction market theory with live charts
Distributed Agent Based On Celery Used To Collect End Of Day Stock Data
A complete installed Ubuntu desktop VirtualMachine with python2 and QuantSoftwareToolkit
Python library for identifying the peaks and valleys of a time series.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.