Based on our record, Google Translate should be more popular than PyTorch. It has been mentiond 502 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Honestly, these are some of my favorite stories and I think more ML people need to learn more about mythology (I say this as a ML researcher btw). Because once you go down this path you start to understand how "Rino" == "Unicorn". You have to really think about how to explain things when you're working with a limited language. Yeah, we have the word "rino" now, but how would you describe one to someone who has no... - Source: Hacker News / 10 days ago
Const fs = require('fs'); Const tts = require('google-tts-api'); Const axios = require('axios'); // Function to convert text to speech and save as an audio file Async function textToSpeech(text, language, outputFile) { try { const url = await tts.getAudioUrl(text, { lang: language || 'en', slow: false, host: 'https://translate.google.com', }); const response = await axios.get(url,... - Source: dev.to / about 1 month ago
Thanks for correcting me. Apparently, I was too credulous of https://translate.google.com/?sl=en&tl=nl&text=monster&op=translate. - Source: Hacker News / 3 months ago
First narrow it down to somewhere whose main language you can speak. I picked Germany because I already had some experience with the language and slightly Dunning Kruger'd myself. I like it, but… well, even native German speakers say „Deutsche Sprache, schwere Sprache“ ("German is hard"). Cyprus has a lot of English speakers (and indeed a lot of street furniture that looks just like the UK, plus two UK... - Source: Hacker News / 5 months ago
Https://translate.google.com/?sl=auto&tl=ja&text=heh&op=translate Make sure to press the speaker icon in the lower box. ;). - Source: Hacker News / 5 months ago
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 26 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 3 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / 2 months ago
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Microsoft Translator - Microsoft Translator is your door to a wider world.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Mate Translate - Ultimate translation app for Mac, iOS, Chrome and many more
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.