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Apache Camel K is a lightweight integration platform, born on Kubernetes, with serverless superpowers
Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.
Cloud-Native Storage and Enterprise Content Services (ECMS) for Spring
Netty project - an event-driven asynchronous network application framework
TCP/HTTP/UDP/QUIC client/server with Reactor over Netty
Non-Blocking Reactive Foundation for the JVM
Every Day Calendar inspired by Simone Giertz's project: https://www.kickstarter.com/projects/simonegiertz/the-every-day-calendar
A React component for choosing dates and date ranges.
A date range picker for your React app.
JavaScript Date Range, Date and Time Picker Component
Build forms in React, without the tears 😭
Data Science Using Python
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 Advers…
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Examples on building machine learning models
Programs for stock prediction and evaluation
Get Historical Stock Data from Yahoo Finance
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Stock Trading Bot using Deep Q-Learning
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Use unsupervised and supervised learning to predict stocks
Stock Price Prediction using Machine Learning Techniques
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.