Metrics
Evaluation metrics library
Provides implementations of various supervised machine learning evaluation metrics in multiple programming languages.
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
2k stars
87 watching
454 forks
Language: Python
last commit: almost 3 years ago
Linked from 3 awesome lists
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A Python package providing metrics and tools for evaluating image segmentation models | 282 |
| | A library providing evaluation metrics and diagnostic tools for recommender systems. | 571 |
| | A collection of common machine learning evaluation metrics implemented in PyTorch | 110 |
| | A library providing a comprehensive set of metrics and tools for evaluating recommender systems | 278 |
| | This project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness. | 39 |
| | A Python library providing efficient implementations of various supervised and weakly-supervised metric learning algorithms. | 1,402 |
| | Evaluates and compares the performance of multimodal large language models on various tasks | 56 |
| | A library providing an implementation of various metrics for object segmentation and saliency detection in computer vision. | 150 |
| | Provides a simple and efficient way to track and expose performance metrics in Go applications. | 28 |
| | A Golang library for exporting performance and runtime metrics to external systems. | 1,470 |
| | Evaluating and improving large multimodal models through in-context learning | 21 |
| | A Julia library providing a consistent API for common machine learning algorithms | 116 |
| | A benchmark for evaluating machine learning algorithms' performance on large datasets | 1,874 |
| | A simple metrics library that abstracts different data collection backends. | 317 |
| | Compiles bias evaluation datasets and provides access to original data sources for large language models | 115 |