High Performance Computing (HPC) Service
Category |
Example |
Techniques |
Readme for HPC |
JupyterNoteBook |
Deep Learning |
Deep learning using cotton images |
Deep learning, tensorflow, sequential, CNN, binary labels |
Notebook | |
Deep learning using ball images |
Deep learning, tensorflow,sequential, CNN, multi-labels |
Notebook | ||
Deep learning using chest xray images |
TensorFlow, binary labels, prediction (neural network) |
Readme | ||
Deep learning using traffic sign images |
TensorFlow, multi-labels, prediction (neural network) |
Readme | ||
Classification |
Classification analysis of student information |
Linear Regression, Decision Trees, Logistic Regression, Random Forest Neural Networks, Support Vector Machines |
Readme | Notebook |
Classification analysis for flower images |
Logistic Regression, Linear Discriminant Analysis, K-Nearest Neighbors, Decision Trees, Random Forests, Gaussian Naive Bayes and Support Vector Machine |
Readme | Notebook | |
Clustering |
Clustering analysis using K-means |
k-means |
Readme | Notebook |
Text Analysis |
Text analysis using nltk for sentiment prediction |
CountVectorizer, Tfidf, Sentiment Prediction (naive_bayes) |
Readme | Notebook |
Convex Optimization |
Convex optimization using CVXPPY for portfolio optimization |
Portfolio optimization, Linear Programming |
Readme | Notebook |
Convex optimization using CVXOPT for floor planning |
Floor planning, Linear Programming |
Notebook |
Cloud Service
GPU-Enabled Virtual Machine (GVM) Service
JupyterLab Service
JupyterNotebook: