tensorflow
Vue.js
tensorflow | Vue.js | |
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223 | 381 | |
182,575 | 206,993 | |
0.5% | 0.1% | |
10.0 | 7.7 | |
2 days ago | 3 days ago | |
C++ | TypeScript | |
Apache License 2.0 | MIT License |
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.
tensorflow
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Side Quest Devblog #1: These Fakes are getting Deep
# L2-normalize the encoding tensors image_encoding = tf.math.l2_normalize(image_encoding, axis=1) audio_encoding = tf.math.l2_normalize(audio_encoding, axis=1) # Find euclidean distance between image_encoding and audio_encoding # Essentially trying to detect if the face is saying the audio # Will return nan without the 1e-12 offset due to https://github.com/tensorflow/tensorflow/issues/12071 d = tf.norm((image_encoding - audio_encoding) + 1e-12, ord='euclidean', axis=1, keepdims=True) discriminator = keras.Model(inputs=[image_input, audio_input], outputs=[d], name="discriminator")
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Google lays off its Python team
[3]: https://github.com/tensorflow/tensorflow/graphs/contributors
- TensorFlow-metal on Apple Mac is junk for training
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐
- One .gitignore to rule them all
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10 Github repositories to achieve Python mastery
Explore here.
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GitHub and Developer Ecosystem Control
Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.
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Non-determinism in GPT-4 is caused by Sparse MoE
Right but that's not an inherent GPU determinism issue. It's a software issue.
https://github.com/tensorflow/tensorflow/issues/3103#issueco... is correct that it's not necessary, it's a choice.
Your line of reasoning appears to be "GPUs are inherently non-deterministic don't be quick to judge someone's code" which as far as I can tell is dead wrong.
Admittedly there are some cases and instructions that may result in non-determinism but they are inherently necessary. The author should thinking carefully before introducing non-determinism. There are many scenarios where it is irrelevant, but ultimately the issue we are discussing here isn't the GPU's fault.
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Can someone explain how keras code gets into the Tensorflow package?
and things like y = layers.ELU()(y) work as expected. I wanted to see a list of the available layers so I went to the Tensorflow GitHub repository and to the keras directory. There's a warning in that directory that says:
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Is it even possible to design a ML model without using Python or MATLAB? Like using C++, C or Java?
Exactly what language do you think TensorFlow is written in? :)
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?
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
lit - Lit is a simple library for building fast, lightweight web components.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
htmx - </> htmx - high power tools for HTML
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
vite - Next generation frontend tooling. It's fast!
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Stimulus - A modest JavaScript framework for the HTML you already have [Moved to: https://github.com/hotwired/stimulus]
scikit-learn - scikit-learn: machine learning in Python
React - The library for web and native user interfaces.
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.