dee-z Goto Github PK
Type: User
Type: User
Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance of predictions.
Deep Generative Model Class Project, use cVAE + RNN(GRU/LSTM) + GAN to produce adversarial sentences
Breakout Detection via Robust E-Statistics
Electricity-Theft Detection in Smart Grids
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
GAN based ConvLSTM in precipitation prediction (Trial Version)
Part of my Master Thesis in Autonomous Driving.
This repository consists of implementation of GAN and GRU
Python | XGBoost | Shap
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
AI model example
Lifespan Age Transformation Synthesis code
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Create a few popular Neural Networks from scratch using just Numpy
Tensorflow(MLP, CNN, LSTM, GRU, GAN), Keras(MLP, CNN, LSTM, GRU, GAN)
This is implemented for moving object prediction; using CNN, GAN and LSTM
Example of Supervised Machine Learning (Multinomial Classification) using XGBoost and Shapley Value in Python
Deep learning models for doing predictions based on multi resolution, irregular and partially missing time-series data sets
All about the code mentioned in the paper
A game theoretic approach to explain the output of any machine learning model.
Demo of shapely values for interpreting decision tree model
Feature importance using XGBoost
Time Series Classification Using Shapelets
#LSTM #1D CNN #GAN #Stock Prediction #Indicators #AMD #FinanceDataReader #Crawling
#LSTM #1D CNN #GAN #Stock Prediction #Indicators #AMD #PlaidML #Crawling
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.