applied-ml
Vue.js
applied-ml | Vue.js | |
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13 | 381 | |
25,984 | 206,993 | |
- | 0.1% | |
3.0 | 7.7 | |
5 days ago | 4 days ago | |
TypeScript | ||
MIT License | MIT License |
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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
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[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
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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
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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)
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[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.
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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.
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[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.
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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.
Vue.js
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Here are the 10 projects I am contributing to over the next 6 months. Share yours
Vuejs
- Vue 2 Final Release
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🎄 Top Front-End Frameworks in 2024 Worth Your Time and Effort to Master
Vue.js is a big favorite for making websites because it's easy to use and fits in well with other stuff. Many people worldwide are using it, and the community keeps growing.
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Angular vs. React vs. Vue.js: Comparing performance
Vue has a thriving ecosystem with a wide range of third-party libraries and plugins available for extending its functionality. These libraries cover everything from state management to routing, making it easy for developers to find solutions to common problems and enhance their development workflow. As of this writing, Vue has 200k GitHub stars.
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Top 10 "Must Have" Repositories for Web Developers
6. Vue.js
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Vue 2 vs vue 3 - The Differences
I have got the privilege of working on Vue 2 couple of months ago and its really amazing framework to work with .
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Angular v16 Is Here
Angular is as little innovative for web frameworks as Firefox-ESR is for browsers. It merely keeps copying features from other frameworks - just many years later. It is a chronically outdated framework that always struggles to keep up with its competitors. It would be ok if those were deliberate design decisions, but if the features get copied some day anyway, what is the point? Why not do it the right way from the start?
For example, this update brings us computed properties, an essential feature for any complex performant web application that was made popular by Vue.js 10 years ago [1]. And now in 2023 we get it in Angular, essentially a confirmation by its devs that its lack has always been a design error.
I also cannot understand the "mature" argument. For example, it took five years for documentation on `` to arrive [2]. This is something I'd expect from the side project of a lone programmer, not an enterprise-level framework.
The only upsides of Angular are its "batteries included" approach and the (debatable) default of RXJS, while the downsides are plenty.
[1] https://github.com/vuejs/vue/tree/218557cdec830a629252f4a9e2...
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What's happening with the forum?
It's down since months. https://github.com/vuejs/vue/issues/11867
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How to scrape the web with Puppeteer in 2023
{ "user": "vuejs", "repo": "vue", "url": "https://github.com/vuejs/vue", "stars": 201555, "description": "🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.", "topics": [ "javascript", "framework", "vue", "frontend" ], "label": "repository", "commitCount": 3544 }
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What is Vue?
Vue.js is a progressive open-source MVVM frontend JavaScript framework that is designed to be implemented incrementally since the core library focuses only on the presentation layer. Nevertheless, this framework is used for building UI (user interfaces) and complex single-page applications with modern tools and libraries to support them. It enables you to take advantage of libraries for client-side routing and state management when you need it.
What are some alternatives?
awesome-mlops - A curated list of references for MLOps
lit - Lit is a simple library for building fast, lightweight web components.
awesome-ml-blogs - Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
htmx - </> htmx - high power tools for HTML
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.
vite - Next generation frontend tooling. It's fast!
Cookbook - The Data Engineering Cookbook
Stimulus - A modest JavaScript framework for the HTML you already have [Moved to: https://github.com/hotwired/stimulus]
ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
React - The library for web and native user interfaces.
pipebase - data integration framework
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.