-
University of Virginia
- Charlottesville, VA
- https://datascience.virginia.edu/people/jingyi-luo
Highlights
- Pro
Block or Report
Block or report Jingyi-Luo
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned Loading
-
Aerial_Cactus_Detection_Using_CNN
Aerial_Cactus_Detection_Using_CNN PublicA CNN model was built using TensorFlow to predict whether a low-resolution image contains a cactus.
Python
-
Multiclass_Cuisine_Detection_Using_RNN
Multiclass_Cuisine_Detection_Using_RNN PublicA RNN model was built using TensorFlow to detect a cuisine type from 20 classes based on the ingredients of recipes from the JSON-formatted dataset.
Python 1
-
Stock_Price_Movement_Prediction_RNN_CNN_FFNN
Stock_Price_Movement_Prediction_RNN_CNN_FFNN PublicThe random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
-
Prediction_of_Patients_Deterioration_in_Cardiac_Wards
Prediction_of_Patients_Deterioration_in_Cardiac_Wards PublicA super learner was built by stacking logistic regression, random forest, and gradient boosting models (XGBoost) to predict whether a patient in the cardiac wards needs to be transferred to ICU.
-
Data_Visualization_for_Features_Comparison_Using_D3.js
Data_Visualization_for_Features_Comparison_Using_D3.js PublicThe HTML file is developed using the JavaScript library D3.js to dynamically show and compare the features between different groups of patients
HTML
-
Digit_Recognizer_With_MNIST_Data_Using_FFNN
Digit_Recognizer_With_MNIST_Data_Using_FFNN PublicA feed forward neural network (FFNN) is built to recognize the gray-scale images of hand-drawn digits from zero through nine using tensorflow.
Python
If the problem persists, check the GitHub status page or contact support.