Search Results for "metrics"
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Showing 16 open source projects for "metrics"
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SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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DIG
A library for graph deep learning research
... your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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Best-of Python
A ranked list of awesome Python open-source libraries
This curated list contains 390 awesome open-source projects with a total of 1.4M stars grouped into 28 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! Ranked list of awesome python libraries for web development... -
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
Every customer interaction is vital to your business success and revenue growth. With Jiminny’s AI-powered conversation intelligence software, we take recording, capturing, and meticulous analysis of call recordings to the next level. Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not. Seamlessly support your biggest objectives across the entire business landscape with our innovative call tracking system.
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Flashcards - Good Plus Fast
Use Excel to create categorized flashcards and track your progress.
Use this macro-enabled Excel template to create flashcards with categories and hints. Track your progress with metrics within each category, session, term/definition, and in total. -
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NiftyNet
An open-source convolutional neural networks platform for research
An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging... -
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RSSceSim
RSSceSim - Reputation System Scenario Simulator
RSSceSim is a simple and easy to extend simulation tool for reputation models that can be used for testing, comparing and benchmarking reputation system metrics under specific scenarios. -
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Viva Visitor & Volunteer ID tracking
track visitors and volunteers to a facility with hour tracking
A visitor management and volunteer software program created to help schools & businesses track, log and autonomously process visitors and volunteers. It logs visitors & volunteers in & out, tracks volunteer hours for specifics subjects and groups of subjects. Will also track hours of members in group form. Provides volunteer hour statements, and overall group metrics. Built to use sustainable barcodes or printed labels. Different classes and metrics available. Different modes available. -
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TESTIMAGES
Testing images for scientific purposes
The TESTIMAGES archive is a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays and image processing techniques. The archive includes more than 2 million images originally acquired and divided in three different categories: SAMPLING and SAMPLING_PATTERNS (aimed at testing resampling algorithms), COLOR (aimed at testing color rendering on different displays) and PATTERNS (aimed at testing the rendering of standard geometrical... -
Drive amazing product experiences with quality product data.
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C/C++ Program Perfometer
The program enables to get performance of C/C++ program for any metric
The program enables to get performance of C/C++ program and separated pieces of code for any metrics (for instance : time, memory, metrics defined by user etc.). The measurement results are represented in detailed/summary reports. Latest Version: 2.10 -
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The C/C++ Program Perfometer is an open source tool which enables the programmer to measure the comparative performance of a C/C++ program or of separated pieces of code by one of several desired metrics: e.g., time, memory, or metrics defined by the prog
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A library implementing various quality metrics used in research to compare processed images to their ground truth.
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Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.
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It provides a graphical animated representation of a network simulation run (e.g. for ns-2). Further, common metrics are calculated and displayed. The tool is written in Java and supplies 2 frontends (applet and stand-alone application).
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A fast way to rate the reading challenging level of book or text. Unlike well known reading metrics such as Fog, Kincaid, SMOG, ARI, Flesch, and Coleman-Liau readability this metric takes into account far more factors and is standarized against a corpus
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