Mailmodo
Loops.so
MailerLite
MailChimp
Moda
Customer.io
Stripo
Selzy
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
At Mailmodo, we are building the future of marketing and transactional emails. With Mailmodo, businesses will be able to add web-like interactivity like forms, survey, calendar, likes, comments, etc. right inside emails to their users. This will help them to engage their users better and achieve a higher conversion rate from their emails.
Mailmodo TensorFlowBased on our record, TensorFlow should be more popular than Mailmodo. It has been mentiond 8 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.
Yeah, the ability to do this is ~3 years old, so there are few no-code tools, and it's expensive to do in house. None of the no-code tools that do exist are verticalized around eCommerce. Check out mailmodo.com for an example of a horizontally positioned company in the space. Source: over 3 years ago
Mailmodo helps marketers create app-like experiences in email by adding forms, shopping cart, calendar, NPS and more widgets within the email without any coding. Our interactive emails reduce the number of steps for users, thereby increasing email conversions by ~3x for brands like Razorpay, Cleartax, etc. You can use it to collect feedback from your users, book meetings with prospects, recover abandon carts,... Source: over 4 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
Loops.so - We bought a billboard in Times Square and we're letting you advertise your startup on it!It's free.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
MailerLite - Affordable Email Marketing Software. Get all features (Segmentation, Automation, A/B testing) for up to 1,000 subscribers & send unlimited emails for free!
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
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.