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Name: DeepLearning
Type: User
Name: DeepLearning
Type: User
A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A unified approach to explain the output of any machine learning model.
Object recognition on abstract shapes with neural networks
A system for quickly generating training data with weak supervision
Show how to structure a Python project.
Spatio-Temporal Graph Convolutional Networks
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
Stock Market Prediction Using Unsupervised Features
Data and code of my Medium story on stock prediction with TensorFlow
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
Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Welcome to the University of Toronto Coders!
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Use deep learning, genetic programming and other methods to predict stock and market movements
TensorFlow implementation of an arbitrary order Factorization Machine
🚂💨 Deep Momentum Networks for Time Series Strategies
A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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.