Search results for machine learning evaluation metrics

29 search results found

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

Rliable ⭐ 588

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

Image Similarity Measures ⭐ 482

📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

Pynlpl ⭐ 466

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP spec

Comet ⭐ 346

A Neural Framework for MT Evaluation

Nervaluate ⭐ 125

Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13

Generative Evaluation Prdc ⭐ 121

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Kolena ⭐ 37

Python client for Kolena's machine learning testing platform

Data Discovery Toolkit ⭐ 31

A data discovery and manipulation toolset for unstructured data

Repsys ⭐ 26

Framework for Interactive Evaluation of Recommender Systems

Nereval ⭐ 23

Evaluation script for named entity recognition (NER) systems based on entity-level F1 score.

Iron ⭐ 16

R Package for Imbalanced Regression

Guap ⭐ 16

Open-source evaluation metric for linking Machine Learning model outputs with Business outcomes

World Food Production ⭐ 14

Comparing Top food and feed Producers around the globe and also seeking some interesting answers, solutions, patterns, hints and warnings through the power of Data Analysis and Data Visualization using Machine Learning.

Online Retail Transactions Of Uk ⭐ 13

Analyzing the Online Transactions in UK and the countries who are purchase stuff from them and analyzing the reviews from them using NLP and Machine Learning

Twitter Sentiment Analysis ⭐ 12

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

Insurance Claim Prediction ⭐ 10

In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.

Ml_evaluation_metrics ⭐ 10

Landscape of ML/DL performance evaluation metrics

Restaurant Reviews Analysis ⭐ 10

Using Natural Language Processing and Bag of Words for feature extraction for sentiment analysis of the customers visited in the Restaurant and at last using Classification algorithm to separate Positive and Negative Sentiments.

Pytolemaic ⭐ 10

Toolbox for analysis of model's quality and model's description. For further details see

Ggme ⭐ 8

Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions" https://openreview.net/forum?id=tBtoZYKd9n

Graduate Admissions Analysis ⭐ 8

Analyzing the Factors on which Graduates get Admissions in Abroad and Visualizing some of the most intriguing and interesting patterns followed onto it using Data Analysis and Data Visualizations Using Machine Learning.

Big Mart Sales Prediction ⭐ 7

Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

Time Series Forecasting Using Machine Learning Algorithm ⭐ 7

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

Lips ⭐ 7

The benchmark platform for power networks

Employee Reviews ⭐ 7

This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.

Boston House Price Predictions ⭐ 6

The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning

Learning ⭐ 6

Evaluation metrics and essential machine learning for Haskell

Cervical Cancer Prediction ⭐ 5

In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms for Classifications, Visualizations and Analysis.

Eval Metrics ⭐ 5

Evaluation metrics for machine learning

Titanic Passenger Survival Prediction ⭐ 5

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.