applied-ml
Playwright
applied-ml | Playwright | |
---|---|---|
13 | 381 | |
25,984 | 61,799 | |
- | 1.5% | |
3.0 | 9.9 | |
5 days ago | 7 days ago | |
TypeScript | ||
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
applied-ml
-
[D] Favorite ML Youtube Channels/Blogs/Newsletters
Also, have any of you stumbled across any cool GitHub repos like this one: https://github.com/eugeneyan/applied-ml ?
- Curated Papers on Machine Learning in Production
-
Top Github repo trends in 2021
The second repo I LOVE is Eugene Yan’s Applied ML repository. This is a brilliant idea to create and actually something I was planning on sort of casually doing in my non-existent free time… Anyhow, it is a curated list of technical posts from top engineering teams (Netflix, Amazon, Pinterest, Linkedin, etc.) detailing how they built out different types of AI/ML systems (e.g. forecasting, recommenders, search and ranking, etc.). Ofc, it focuses on AI/ML, but something similar could be made for the traditional or BI-oriented analytics stack, as well as the streaming world, super high value for practitioners! Btw-one of my favorite things at BCG used to be looking at our IT architecture team’s reference architecture diagrams… the best way to understand technologies is to look at how a ton of stuff is architected… and its fun!
- Curated papers, articles, & blogs on data science and ML in production
-
Messed up my career by pivoting to DS. Wondering if it's too late to switch to MLE
Applied ML: A collection of papers, articles, and blogs on ML in production by different companies (Netflix, Uber, Facebook, LinkedIn, etc)
-
[D] A dilemma of an ML guy in industry
Eugene Yan's applied-ml has tons of case studies.
- Papers & tech blogs by companies sharing their work on data science & machine learning in production.
-
My information dump for people trying to break into data science/interview notes
https://github.com/eugeneyan/applied-ml You may find some of his links interesting. I would avoid anything that refers to scaling up a platform as these are more backend engr focus. The more relevant posts to you are probably on the scale of blog posts that are product oriented like the ones I listed in section 4 (e.g. we wanted to solve X for our users and this is how we scoped and defined it). The technical aspects should come backseat to the business aspects. There's def a lot of companies/blog posts that he missed, but the internet is huge.
-
[D] Can anyone point me to resources/case studies of companies/business creating infrastructure for their data needs?
Check the resources mentioned in applied-ml. It includes blog posts/papers from many companies describing how they built some ML product X.
-
What content would be useful to intermediate Data Scientist
Check out this repo. They collect hundreds of case studies, broken down by dozens of methodologies from large real-world companies such as AirBnB, Nvidia, Uber, Netflix etc.
Playwright
-
Typed E2E test IDs
We start with a project that was bootstrapped with npx create-next-app. For the E2E test we use Playwright and set it up as described in the testing guide provided by Next.js.
-
Playwright Scraping infinite loading & pagination
Playwright is a powerful tool developed by Microsoft, it allows developers to write reliable end-to-end tests and perform browser automation tasks with ease. What sets Playwright apart is its ability to work seamlessly across multiple browsers (Chrome, Firefox, and WebKit), it provides a consistent and efficient way to interact with web pages, extract data, and automate repetitive tasks. Moreover, it supports various programming languages such as Node.js, Python, Java, and .NET, that’s making it a versatile choice for web scraping projects. Whether you're scraping public data for analysis, building a web crawler, or automating manual workflows, Playwright has you covered.
-
Sometimes things simply don't work
The consensus I could gather is either use playwright or use a workaround to solve it in the puppeteer layer. The root cause of the bug is a websocket size limitation on the CDP protocol for chromium.
-
The best testing strategies for frontends
With the advent of tools like Puppeteer and now Playwright, end-to-end testing has become much easier and more reliable. For anyone who's used Selenium in the past, you know what I'm talking about. Puppeteer has opened the way in terms of E2E tooling, but Playwright has taken it to the next level and made it easier to await for certain selectors or conditions to be fulfilled (via locators), thus making tests more reliable and less flaky. Also, it's a game changer that it introduced a test-runner - this made the integration between the headless browser and the actual test code much smoother.
-
Playwright Web Scraping 2024 - Tutorial
In this tutorial, our main focus will be on Playwright web scraping. So what is Playwright? It’s a handy framework created by Microsoft. It's known for making web interactions more streamlined and works reliably with all the latest browsers like WebKit, Chromium, and Firefox. You can also run tests in headless or headed mode and emulate native mobile environments like Google Chrome for Android and Mobile Safari.
-
The best testing setup for frontends, with Playwright and NextJS
// playwright.config.ts import { defineConfig } from "@playwright/test"; /** * See https://playwright.dev/docs/test-configuration. */ export default defineConfig({ testDir: "./src/pages", reporter: "list", use: { baseURL: "http://localhost:5432/", }, timeout: process.env.CI ? 10000 : 4000, // ... more options });
-
✍️Testing in Storybook
Issues with Playwright
-
Episode 24/14: Angular Query, New Template Syntax
Fast and reliable end-to-end testing for modern web apps | Playwright
-
Adding standalone or "one off" scripts to your Playwright suite
This means you cannot place test files outside of this directory, which was brought up as a question on Github some time ago. Initially, I thought it would be nice to add another folder in the repo called "scripts", but Playwright does not allow multiple testDir values.
-
Learn Automated Testing At Home: A Beginner's Guide
4.Playwright: Playwright is a browser automation library by Microsoft. Key Features: Supports Chromium, Firefox, and WebKit. Provides cross-browser testing capabilities. Allows automating web, mobile, and desktop applications
What are some alternatives?
awesome-mlops - A curated list of references for MLOps
WebdriverIO - Next-gen browser and mobile automation test framework for Node.js
awesome-ml-blogs - Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
undetected-chromedriver - Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
TestCafe - A Node.js tool to automate end-to-end web testing.
Cookbook - The Data Engineering Cookbook
nightwatch - Integrated end-to-end testing framework written in Node.js and using W3C Webdriver API. Developed at @browserstack
ml-surveys - đź“‹ Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Cypress - Fast, easy and reliable testing for anything that runs in a browser.
pipebase - data integration framework
playwright-python - Python version of the Playwright testing and automation library.