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ann_stroke_prediction

conceptnet-numberbatch

conceptnet5-client

Python programming interface and graph walk inference engine for ConceptNet5 Web API

healthcare-stokeprediction

Using a list of standard machine learning algorithms such as decision tree, random forest, logistic regression and XGBoost Classifier for our model building. Our stroke dataset is a scenario where the number of observations belonging to one class is significantly lower than those belonging to the other classes. This comes under the imbalance class distribution. To resolve this, we balanced our dataset and calculated results with and without data preprocessing. The best accuracy for our dataset was when we used a balanced dataset with feature selection.

hierse

Zero-shot image tagging by hierarchical semantic embedding

magnitude

A fast, efficient universal vector embedding utility package.

models

Models and examples built with TensorFlow

python-conceptnet

Examples using python to work with MIT's concept-net API

robot-learning-2

Robot Learning Assignment 2

robot_learning

Assignments

rostensorflow

rvcexp

Robotics, Vision and Control Experiments

serving

A flexible, high-performance serving system for machine learning models

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-glove

An implementation of GloVe in TensorFlow

tensorflow_node

Tensorflow based ROS node for evaluating deep learning algorithms.

wordnet_conceptnet_neo4j

A python script that converts WordNet and ConceptNet into a Neo4j property graph