29 Repositories
Latest Python Libraries
reXmeX is recommender system evaluation metric library.
A general purpose recommender metrics library for fair evaluation.
This is the repo for Uncertainty Quantification 360 Toolkit.
UQ360 The Uncertainty Quantification 360 (UQ360) toolkit is an open-source Python package that provides a diverse set of algorithms to quantify uncert
This is the repo for Uncertainty Quantification 360 Toolkit.
UQ360 The Uncertainty Quantification 360 (UQ360) toolkit is an open-source Python package that provides a diverse set of algorithms to quantify uncert
Basic Utilities for PyTorch Natural Language Processing (NLP)
Basic Utilities for PyTorch Natural Language Processing (NLP) PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. tor
TorchMetrics is a collection of 25+ PyTorch metrics implementations and an easy-to-use API to create custom metrics.
Machine learning metrics for distributed, scalable PyTorch applications.
One Metrics Library to Rule Them All!
onemetric Installation Install onemetric from PyPI (recommended): pip install onemetric Install onemetric from the GitHub source: git clone https://gi
Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn
Regression Metrics Installation To install the package from the PyPi repository you can execute the following command: pip install regressionmetrics I
Hubble - Network, Service & Security Observability for Kubernetes using eBPF
Network, Service & Security Observability for Kubernetes What is Hubble? Getting Started Features Service Dependency Graph Metrics & Monitoring Flow V
Ballcone is a fast and lightweight server-side Web analytics solution.
Ballcone Ballcone is a fast and lightweight server-side Web analytics solution. It requires no JavaScript on your website. Screenshots Design Goals Si
Monitor and log Network and Disks statistics in MegaBytes per second.
iometrics Monitor and log Network and Disks statistics in MegaBytes per second. Install pip install iometrics Usage Pytorch-lightning integration from
The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure
miseval: a metric library for Medical Image Segmentation EVALuation The open-source and free to use Python package miseval was developed to establish
Whisper is a file-based time-series database format for Graphite.
Whisper Overview Whisper is one of three components within the Graphite project: Graphite-Web, a Django-based web application that renders graphs and
đ€ The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
đ€ The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Simple tool/toolkit for evaluating NLG (Natural Language Generation) offering various automated metrics.
Simple tool/toolkit for evaluating NLG (Natural Language Generation) offering various automated metrics. Jury offers a smooth and easy-to-use interface. It uses datasets for underlying metric computa
Prometheus integration for Starlette.
Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p
Prometheus integration for Starlette.
Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p
đ A comprehensive monitoring and alerting solution for the status of your Chia farmer and harvesters.
chia-monitor A monitoring tool to collect all important metrics from your Chia farming node and connected harvesters. It can send you push notificatio
Prometheus instrumentation library for Python applications
Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw
Prometheus instrumentation library for Python applications
Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
TL;DR Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Click on the image to
Most popular metrics used to evaluate object detection algorithms.
Most popular metrics used to evaluate object detection algorithms.
đ A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.
đ A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.
C/C++ Dependency Analyzer: a rewrite of John Lakos' dep_utils (adep/cdep/ldep) from
Version bĂȘta d'un systĂšme pour suivre les prix des livres chez Books to Scrape, un revendeur de livres en ligne. En pratique, dans cette version bĂȘta, le programme n'effectuera pas une vĂ©ritable surv
Prometheus exporter for Flask applications
Prometheus Flask exporter This library provides HTTP request metrics to export into Prometheus. It can also track method invocations using convenient
Metrics to evaluate quality and efficacy of synthetic datasets.
An Open Source Project from the Data to AI Lab, at MIT Metrics for Synthetic Data Generation Projects Website: https://sdv.dev Documentation: https://
Cloudkeeper is âhousekeeping for cloudsâ - find leaky resources, manage quota limits, detect drift and clean up.
Cloudkeeper Housekeeping for Clouds! Table of contents Overview Docker based quick start Cloning this repository Component list Contact License Overvi
Instrument your FastAPI app
Prometheus FastAPI Instrumentator A configurable and modular Prometheus Instrumentator for your FastAPI. Install prometheus-fastapi-instrumentator fro
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Website, Tutorials, and Docs ââ Uncertainty Toolbox A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualizatio
Findings of ACL 2021
Assessing Dialogue Systems with Distribution Distances [arXiv][code] We propose to measure the performance of a dialogue system by computing the distr