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Type: Organization
Stock predictor using Machine Learning
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
Comparison of automatic machine learning libraries
A curated list of research, applications and projects built using H2O Machine Learning
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
coturn TURN server project
Using deep actor-critic model to learn best strategies in pair trading
Using python and scikit-learn to make stock predictions
Mastering-Python-Data-Analysis
Machine Learning and Deep Learning Resources
Natural Language Generator for Python
A JavaScript library to allocate portfolios of financial assets.
Predictive Maintenance using Pyspark
Python Data Science Handbook: full text in Jupyter Notebooks
QuantStart.com - Advanced Trading Infrastructure
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
WebRTC Web demos and samples
Use NLP to predict stock price movement associated with news
—Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)
A practice project for machine learning and stop price prediction
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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.
Stock Price Prediction using Machine Learning Techniques
The implementation of LSTM in TensorFlow used for the stock prediction.
Creating predictive models for different datasets in https://archive.ics.uci.edu/ml/datasets.html
Simple P2P Text/Voice/Video chat client. Works on Chrome and Firefox, Platforms: Android, Windows, Linux, Mac. Just open the link in Browser, You don't need any extra tools for Video Chat. https://valarpirai.github.io/video-chat-app/
Video chat App with WebRTC using Scaledrone Realtime Messaging Service
Web SDK for PCast™ enables massively scalable real-time video applications
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.