Top 23 Python Metric Projects
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High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. (by pytorch)Project mention: Introducing PyTorch-Ignite's Code Generator v0.2.0 | dev.to | 2021-08-31
Along with the PyTorch-Ignite 0.4.5 release, we are excited to announce the new release of the web application for generating PyTorch-Ignite's training pipelines. This blog post is an overview of the key features and updates of the Code Generator v0.2.0 project release.
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Prometheus instrumentation library for Python applicationsProject mention: Setup Grafana with Prometheus for Python projects using Docker | dev.to | 2022-06-11
The code above is copied from the official documentation of prometheus_client which simply creates a new metric named request_processing_seconds that measures the time spent on that particular request. We'll cover other types of metrics later in this post.
Basic Utilities for PyTorch Natural Language Processing (NLP)Project mention: Introduction to PyTorch | dev.to | 2022-05-02
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.Project mention: Profile Evaluation for MS CS in Fall '23 | reddit.com/r/gradadmissions | 2022-08-15
Don't ask for direct university recommendations. First, search for places that meet your needs. You're looking for places with good ML & Systems research, so use a combination of Csrankings and US News rankings to try and get a feel of what universities are good for the subjects you want to study. If you're looking to do research, another excellent way of shortlisting is by seeing where the folks you cited in your research currently teach. Its an excellent organic way to highlight why you're applying to a specific university.
Export Django monitoring metrics for Prometheus.ioProject mention: Best practices for setting up monitoring for a Dockerized Django app on Ubuntu 20.04? | reddit.com/r/django | 2021-12-27
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.Project mention: [R] Single-task Continual/Incremental/Online/Life-Long learning. | reddit.com/r/MachineLearning | 2022-07-09
Lastly, there are several github repo, but the most popular one is ContinualAI/avalanche, which already implement some of above algorithm, for the purpose of reproducibility i.e. can be applied to your task (probably)
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
Resoto creates an inventory of your cloud, provides deep visibility, and reacts to changes in your infrastructure. ⚡️Project mention: Write code that reacts to changes in your cloud infrastructure (AWS, GCP, DigitalOcean). | reddit.com/r/coolgithubprojects | 2022-07-30
Data reliability tools for SQL- and Spark-accessible dataProject mention: Show HN: Soda Core is now GA – Test data like you would test your code | news.ycombinator.com | 2022-06-28
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.Project mention: Links to papers or books that discuss model evaluation methods for object detection models | reddit.com/r/computervision | 2022-03-25
This is a good repository for you to start. https://github.com/rafaelpadilla/review_object_detection_metrics Ultimately you would want to compute the precision, recall, average precision, average recall, and mean Average Precision (mAP) that you’ve probably seen in many papers. Good luck!
MetricFlow allows you to define, build, and maintain metrics in code.Project mention: Show HN: MetricFlow – open-source metric framework | news.ycombinator.com | 2022-04-06
First, MetricFlow does not currently support MySQL. We launched with support for BigQuery, Redshift, and Snowflake. I have opened an issue to add support for MySQL (and similar issues for other SQL engines are coming): https://github.com/transform-data/metricflow/issues/27
Second, what we call a data source is more similar to a table in a database, rather than the underlying database service itself. Metricflow itself is useful when you're using a single SQL engine - indeed, that's all we support today - but it is most useful when you're in a world where joins are a thing. That said, if you have one big data table you might still find it useful to have declarative metric definitions defined in Metricflow. Suppose, for example, you had a big NoSQL style table filled with JSON objects. You might define a few data sources that normalize those JSON objects into top level elements (identifiers, dimensions, aggregated measures) using the sql_query data source config attribute, and then that'd allow you to support structured queries on the data consumption end while pushing unstructured blobs from your application layer. This will be slow at query time, and only as reliable as the level of discipline exerted in your application development workflow, but it's possible.
Third, if we did support MySQL you'd basically connect to it via standard connection parameters - we have a config file where you can store the required information and then we'll manage the connections for you. However, I'm not familiar with uxwizz, and a quick perusal of their documentation did not turn up how one goes about connecting to the underlying DB. It's likely I just missed this, but at any rate I don't know how it is done. If they don't support standard MySQL client connections you'd need to write an adapter of some kind against whatever DB connection APIs they provide, in which case you'd likely need to roll a custom implementation of MetricFlow's SqlClient interface and initialize the MetricFlowEngine with that.
For my needs, the Chrome Platform Status Roadmap may be able replace the V8 blog – if it had a feed (RSS, Atom and/or JSON Feed). I’ve filed an issue: https://github.com/GoogleChrome/chromium-dashboard/issues/1948
Prometheus exporter for Flask applicationsProject mention: Monitorar servidor Python Flask com Prometheus e Grafana | dev.to | 2022-01-31
Provision basic metrics exporter for prometheus monitoring toolProject mention: Node exporter with Cloud-init | reddit.com/r/PrometheusMonitoring | 2021-11-16
Then you can use a role like this.
High-fidelity performance metrics for generative models in PyTorch
Official Docker image for GraphiteProject mention: Elixir metrics and StatsD | dev.to | 2022-06-05
There is a way to install separately StatsD server and Graphite but for this tutorial, I'll just use the official Graphite docker image that also includes the StatsD server.
Export Prometheus metrics from SQL queriesProject mention: Monitoring data from query using prometheus? | reddit.com/r/PrometheusMonitoring | 2022-02-10
Isn't this an exporter which is able to do what you want? https://github.com/albertodonato/query-exporter
:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.Project mention: I matched 400+ images to create illusion of motion [epilepsy] | reddit.com/r/woahdude | 2021-09-11
The easiest place to start is using the classical approaches such as implemented here. For the kind of qualitative assessments you're performing, you'd probably need to use some deep learning techniques but these generally require significant technical background to implement.
Open source data observability platformProject mention: Databricks monitoring/observability | reddit.com/r/dataengineering | 2022-04-18
I'm building an open source data observability platform - https://github.com/monosidev/monosi that visualizes metadata collected from data warehouses. Databricks is currently not supported (contributions welcome!), but it may help to take a look at how we approach the anomaly detection & visualization aspects.
PyTorch Image Quality Assessement package
A general purpose recommender metrics library for fair evaluation.Project mention: Show HN: RexMex – A Recommender Systems Evaluation Metrics Library | news.ycombinator.com | 2022-01-04
A Prometheus exporter for Celery metricsProject mention: Monitor Celery tasks with Prometheus | reddit.com/r/django | 2022-06-21
Python Metrics related posts
Profile Evaluation for MS CS in Fall '23
1 project | reddit.com/r/gradadmissions | 15 Aug 2022
Best Uni of BSc Computer Science
1 project | reddit.com/r/UniUK | 14 Aug 2022
Global Colleges Tier List
1 project | reddit.com/r/ApplyingToCollege | 10 Aug 2022
How to apply for a master's degree (M2) abroad
1 project | reddit.com/r/Tunisia | 4 Aug 2022
Best universities for machine learning ?
1 project | reddit.com/r/learnmachinelearning | 3 Aug 2022
Write code that reacts to changes in your cloud infrastructure (AWS, GCP, DigitalOcean).
1 project | reddit.com/r/coolgithubprojects | 30 Jul 2022
Resoto: An open-source alternative to Google Cloud Asset Inventory
1 project | news.ycombinator.com | 28 Jul 2022
What are some of the best open-source Metric projects in Python? This list will help you:
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