Speed Limit Enforcement uSing Artificial Neural Networks
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Updated
Nov 2, 2014 - C++
Speed Limit Enforcement uSing Artificial Neural Networks
Fast two-way sync of camera-captured JPEG images
Evaluation and agreement scripts for the DISCOSUMO project. Each evaluation script takes both manual annotations as automatic summarization output. The formatting of these files is highly project-specific. However, the evaluation functions for precision, recall, ROUGE, Jaccard, Cohen's kappa and Fleiss' kappa may be applicable to other domains too.
A library that helps you evaluate the performance of annotator systems, for example. Calculates evaluation metrics like precision, recall and F1-score.
Server that uses modules to evaluate source-code and return recommendations
Python implementation of ROUGE
Information retrieval - assignments for course at UPMC - Paris 6
All Pre-processing Steps and MAchine Learning Algorithm -Basic Evaluation Metrics
This repository contains all the Machine Learning and Deep Learning projects that I worked on, spans across the two sub domains of Artificial Intelligence i.e., Computer Vision and Text Processing as a part of Machine Learning Nano Degree program at Udacity.
Implementation of the event-based evaluation metrics for activity recognition tasks proposed by Ward et. all
Learning to Evaluate Image Captioning. CVPR 2018
Evaluation metrics and essential machine learning for Haskell
Analyze the Halstead complexity metrics of Python repositories
Boston house prices prediction for machine learning nanodegree
A news recommendation evaluation framework
A UDF to evaluate Spark-MLlib classification model using PySpark
A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sen…
Machine Learning Engineer Nanodegree, Supervised Learning, Finding Donors for CharityML
Spam classifier using Naive Bayes algorithm.
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