Search Results for "metric" - Page 2
Sort By:
Showing 161 open source projects for "metric"
View related business solutions-
Our Free Plans just got better! | Auth0 by OktaYou asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
-
Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
-
1
dotnet-libyear
A simple measure of dependency freshness
... is four libyears out-of-date. At Singlebrook we try to keep our client’s apps below 10 libyears. We regularly rescue projects that are over 100 libyears behind. "lib" is short for "library", the most common form of dependency. The --versions flag provides a metric for an installed dependency’s freshness relative to the newest release’s major, minor, and patch versions. Of course, this is most useful for dependencies that follow a consistent versioning scheme such as semver. -
2
Metarank
A low code Machine Learning service that personalizes articles
... can find hidden dependencies in the data using our simple JSON format.No Machine Learning experience is required, run our CLI tool with a set of features in a YAML configuration. Run Metarank API service, feed it with real-time events and receive a personalized ranking for your items that will boost conversion, click-through rate or any other business-critical metric you define. -
3
FLAML
A fast library for AutoML and tuning
... their desired customizability from a smooth range: minimal customization (computational resource budget), medium customization (e.g., scikit-style learner, search space, and metric), or full customization (arbitrary training and evaluation code). It supports fast automatic tuning, capable of handling complex constraints/guidance/early stopping. FLAML is powered by a new, cost-effective hyperparameter optimization and learner selection method invented by Microsoft Research. -
4
TensorFlow Ranking
Learning to rank in TensorFlow
TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform. Commonly used loss functions including pointwise, pairwise, and listwise losses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and Normalized Discounted Cumulative Gain (NDCG). Multi-item (also known as groupwise) scoring functions. LambdaLoss implementation for direct ranking metric optimization. Unbiased Learning-to-Rank from biased feedback data. We envision that this library... -
Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
-
5
SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. Experiment: A collection of related Trials. Add Trials to an Experiment that you wish to... -
6
phantomas
Headless Chromium-based web performance metrics collector
Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the JavaScript... -
7
dive
A tool for exploring each layer in a docker image
.... The lower left pane shows basic layer info and an experimental metric that will guess how much wasted space your image contains. This might be from duplicating files across layers, moving files across layers, or not fully removing files. Both a percentage "score" and total wasted file space is provided. You can build a Docker image and do an immediate analysis with one command: dive build -t some-tag . -
8
LightGBM
Gradient boosting framework based on decision tree algorithms
LightGBM or Light Gradient Boosting Machine is a high-performance, open source gradient boosting framework based on decision tree algorithms. Compared to other boosting frameworks, LightGBM offers several advantages in terms of speed, efficiency and accuracy. Parallel experiments have shown that LightGBM can attain linear speed-up through multiple machines for training in specific settings, all while consuming less memory. LightGBM supports parallel and GPU learning, and can handle... -
9
Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before... -
Business Texting and Text Message Marketing Solutions - TextellentTextellent's business texting solution makes designing, managing, measuring, and integrating SMS and MMS campaigns easy. Whether used for customer service, sales, or marketing, Textellent supports your customer journey with an easy-to-use service that text-enables local business lines and serves businesses of any size. Robust scheduling and appointment reminders are also available, as are keywords and shortcodes for easy opt-in programs with TCPA compliance supported by AI.
-
10
Ruler
Gradle plugin which helps you analyze the size of your Android apps
App size is an important metric which directly correlates with business metrics like install conversion rate. Measuring app size is straightforward, but knowing what contributes to it is not. Especially in bigger projects with hundreds or thousands of modules and third-party dependencies. Ruler provides a convenient way to find out how much each module and dependency contributes to the total size of your app by running a single Gradle task. First you need to add the Ruler Gradle plugin... -
11
Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception. Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training... -
12
Whisper Library
Whisper is a file-based time-series database format for Graphite
Whisper is one of three components within the Graphite project. Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data. Copies data from src in dst, if missing. Unlike whisper-merge, don't overwrite data that's already present in the target... -
13
Offline school software
Offline school software is specially develop for schools and colleges
Offline school software is specially develop for schools and colleges to fulfill all the requirements of educational institution. -
14
M3
Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar
M3 is a Prometheus-compatible, easy-to-adopt metrics engine that provides visibility for some of the world’s largest brands. M3 is the obvious choice for Cloud Native companies looking to scale up their Prometheus-based monitoring systems. M3 can be used as Prometheus Remote Storage and has 100% PromQL compatibility. M3 was originally developed at Uber in order to provide visibility into Uber’s business operations, microservices, and infrastructure. With its ability to horizontally scale... -
15
moebinv
C++ libraries for manipulations in non-Euclidean geometry
... of the GiNaC computer algebra system (http://ginac.de). Besides C++ libraries there is a Python wrapper, which can be used in interactive mode (https://codeocean.com/capsule/7952650/). Both libraries work in arbitrary dimensions and signatures of metric. Additionally, there are some 2D/3D-specific routines including a visualisation to PostScript files through Asymptote (http://asymptote.sourcefourge.net) software. The source is written in literate programming NoWeb. -
16
High Dynamic Range Visual Difference Predictor (HDR VDP) is a perceptual metric that can predict whether differences between two images are visible to the human observer or not.
-
17
Deep Learning course
Slides and Jupyter notebooks for the Deep Learning lectures
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion. -
18
cyrillic-modern
Yet another Cyrillic version of Computer Modern fonts
... making the Cyrillic Modern fonts closer to modern-style fonts, in particular, to Monotype Modern. So, these fonts break metric compatibility with the Computer Modern fonts. For consistency, the modified mathematical italic fonts are provided. The font sources are located at http://code.google.com/p/cyrillic-modern/ -
19
Sentinel Golang
Sentinel Go enables reliability and resiliency for Go microservices
... in the past 10 years, such as “Second Kill” which needs to limit burst flow traffic to meet the system capacity, throttling, circuit breaking for unreliable downstream services, distributed rate limiting, etc. Real-time monitoring: Sentinel also provides real-time monitoring ability. You can see the runtime information of a single machine in real-time, and pump the metrics to outside metric components like Prometheus. -
20
qiji-font
Typeface from Ming Dynasty woodblock printed books
... replaceable by an automatic corner-detection algorithm). Generate a low-poly mask for each character on the grid, and save the thumbnails (using OpenCV). First, red channel is subtracted from the grayscale, in order to clean the annotations printed in red ink. Next, the image is thresholded and fed into the contour-tracing algorithm. A metric is then used to discard shapes that are unlikely to be part of the character in interest. -
21
App Metrics
App Metrics is an open-source and cross-platform .NET library
App Metrics is an open-source and cross-platform .NET library used to record metrics within an application. App Metrics can run on .NET Core or on the full .NET framework also supporting .NET 4.5.2. App Metrics abstracts away the underlying repository of your Metrics for example InfluxDB, Prometheus, Graphite, Elasticsearch etc, by sampling and aggregating in memory and providing extensibility points to flush metrics to a repository at a specified interval. App Metrics provides various metric... -
22
krita2
Krita for Linux 64 bit, display RAM as KB, MB, GB
.... I’ve always seen 1024 B = 1 KB. The metric system is fine for the natural sciences but in Computer Science 1024 B = 1 KB. ---------- I tested on my Kubuntu 20.10. This is Krita 4.3.0 Download Krita-4.3.0-Kubuntu20.10_Linux_64_bit_B.7z It contains an important file: libkritaui.so.19.0.0 which is 244.9 MB I tested on my Kubuntu 20.04.2. This is Krita 4.2.9 Download Krita-4.2.9-Kubuntu20.04.2_Linux_64_bit_A.7z -
23
fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
24
Reliable Metrics for Generative Models
Code base for the precision, recall, density, and coverage metrics
Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those... -
25
Metrix++
Management of source code quality is possible.
The project has been moved to https://github.com/metrixplusplus/metrixplusplus ______________________ Metrix++ is an extendable tool to collect and analyse code metrics. - Multiple languages supported - Multiple metrics available - Configurable. Every metric has got 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules. You can choose and configure any limit you want. - High-performance. Processes thousands of files per minutes. - Seamless...