lijin0222
Postdoc (🇺🇸Purdue), PhD & BEng (🇨🇳Tongji), Joint PhD (🇳🇱Twente)
Purdue UniversityShanghai, PR China
lijin0222's Stars
RayeRen/acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
sebp/scikit-survival
Survival analysis built on top of scikit-learn
bcjaeger/xgboost.surv
Extreme Gradient Boosting for Survival Analysis
avinashbarnwal/AFTXGBoostPaper
AFT XGBOOST
kogalur/randomForestSRC
DOCUMENTATION:
liupei101/Tutorial-Machine-Learning-Based-Survival-Analysis
This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.
dmlc/xgboost
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
dynamicslab/databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
leehyu20/ViscoWave
ViscoWave is a tool for Dynamic Backcalculation of Falling Weight Deflectometer (FWD) Time History Data
andreavargasf/ua_pmlca
This is the repository for uncertainty analysisis (ua) in pavement management life cycle assessment (pmlca) using open access software and tools.
YM008/Supporting-Materials
ShiArthur03/ShiArthur03
gephi/gephi
Gephi - The Open Graph Viz Platform
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
AlfredT15/StockMarketPrediction
Multivariate time-series forecasting on stock market data using a transformer neural network
Chinmay-Deep-Sahoo/Stock-Movement-with-Transformer
Welcome to the Stock Movement Prediction with Transformer Repository. This project offers a comprehensive codebase featuring a state-of-the-art Transformer architecture implemented in PyTorch. Its primary objective is to forecast stock movements by integrating daily Reddit news with historical data from the DJIA.
zanuura/deep_learning_stock_prediction
Stock Prediction using LSTM and Transformers with Huge Stock Market Dataset from kaggle.
ycyam-oliver/Transformer-Stock
Application of transformer-based models on financial data
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
cmiao7-illinois/stock_prediction-based-on-lstm-and-transformer
nok-halfspace/Transformer-Time-Series-Forecasting
gangweiX/Stoch-predict-with-Tranformer-LSTM
stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
Stepka/Stock-Prediction-usning-Transformer-NN
Stock Prediction usning Transformer NN
NourozR/Stock-Price-Prediction-LSTM
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
dzitkowskik/StockPredictionRNN
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
lilianweng/stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
zhangxu0307/time_series_forecasting_pytorch
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code