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Loops.so might be a bit more popular than TensorFlow. We know about 9 links to it since March 2021 and only 8 links to TensorFlow. 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.
I thought this would be easy using any of the email marketing tools out there like Resend or Loops, but this was not the case. All of the available tools shockingly handle campaigns at a user instead of organization level. - Source: dev.to / 7 months ago
Previously, I used Loops.so to send out newsletters. However, it involved the tedious task of reformatting the blog post within their campaign editor and re-uploading all media. - Source: dev.to / almost 2 years ago
We have two members with substantial followings, so we designed a landing page for a waitlist in Figma. Implementing in Next.js, hosted on Vercel and integrated with Loops.so, allowed us to efficiently control the design and UX and ramp up a successful pre-launch campaign. - Source: dev.to / almost 2 years ago
Email: https://loops.so - loving them! - Source: Hacker News / about 2 years ago
This came to life by scratching my own itch configuring domain/DKIM, DMARK, SPF, ... For my work email, and not wanting to go through it again to configure the email generated when using https://loops.so and similar. I'm starting up and for the foreseeable future, using my personal email to send emails on behalf of my SaaS is perfectly fine. With that, I still wanted to be able to be sending out rich HTML emails,... - Source: Hacker News / over 2 years ago
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 4 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
Resend - Email for developers
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Mailmodo - Helping marketers build interactive emails and get better conversions from email marketing
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Customer.io - We make it easy to send emails triggered by user behavior. Build, measure and improve your emails to activate and retain users
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.