Metrics
by benhamner
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
AI summary
Evaluation metrics library
Provides implementations of various supervised machine learning evaluation metrics in multiple programming languages.
- stars
- 1.6K
- forks
- 454
- watching
- 87
- awesome lists
- 3
Similar projects
Found by comparing what the projects do, not just their names.
Image Segmentation Metrics Library
A Python package providing metrics and tools for evaluating image segmentation models
Recommender metrics library
A library providing evaluation metrics and diagnostic tools for recommender systems.
Metrics library
A collection of common machine learning evaluation metrics implemented in PyTorch
Recommender metrics library
A library providing a comprehensive set of metrics and tools for evaluating recommender systems
mop/bier39
Metric learner
This project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness.
Metric Learning Library
A Python library providing efficient implementations of various supervised and weakly-supervised metric learning algorithms.
Model evaluator
Evaluates and compares the performance of multimodal large language models on various tasks
Segmentation metrics library
A library providing an implementation of various metrics for object segmentation and saliency detection in computer vision.
Metrics library
Provides a simple and efficient way to track and expose performance metrics in Go applications.
Metrics library
A Golang library for exporting performance and runtime metrics to external systems.
Multimodal model evaluator
Evaluating and improving large multimodal models through in-context learning
Machine Learning Library
A Julia library providing a consistent API for common machine learning algorithms
ML benchmark
A benchmark for evaluating machine learning algorithms' performance on large datasets
Metrics client
A simple metrics library that abstracts different data collection backends.
Bias datasets
Compiles bias evaluation datasets and provides access to original data sources for large language models
Featured in 3 awesome lists
Each link jumps to the spot where the list mentions Metrics.
