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A system for quickly generating training data with weak supervision
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A custom OpenAI gym environment for simulating stock trades on historical price data.
stock predict using deep learning
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.
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
PyTorch implementation of paper "Mining Entity Synonyms with Efficient Neural Set Generation" in AAAI 2019
Deep Semantic Role Labeling with Self-Attention
Code for paper "Temporal Relational Ranking for Stock Prediction"
A library for generalized sequence to sequence models
Computation using data flow graphs for scalable machine learning
Tensorflow implementations of various Learning to Rank (LTR) algorithms.
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
its an implementation of multi task neural network
all kinds of text classification models and more with deep learning
Molding CNNs for text (http://arxiv.org/abs/1508.04112)
Text classifier for Hierarchical Attention Networks for Document Classification
Neural network toolkit for Python
Demonstration of recurrent neural network implemented with Theano
:microscope: Nano size Theano LSTM module
[Code] Trace Norm Regularised Deep Multi-Task Learning
Resources and codes about transfer learning and domain adaptation--迁移学习
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
TensorFlow Reinforcement Learning
An example of doing MovieLens recommendations using triplet loss in Keras
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.