Based on our record, Mint seems to be a lot more popular than TensorFlow. While we know about 80 links to Mint, we've tracked only 7 mentions of 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.
A few budgeting platforms to check out. I've tried a couple of these and can vouch for the Intuit, YNAB, and Google Sheet but the others are just ones I found online. The important part is finding one that works for you. Source: over 1 year ago
I think there's an ongoing issue somewhere because, https://mint.intuit.com/ is also dead. - Source: Hacker News / over 1 year ago
Mint - feel they were the original and the first. Investments were always broken for me, but think they still do a great job on the expenses side. Source: over 1 year ago
Money makes the world go round, and managing it well can be pretty time-consuming. After all, entire professions, like financial planners and accountants, are centered around just that. However, Mint is a great tool for productively managing your own money, budgets, and financial goals, bringing together bank accounts, credit cards, loans, and investments into a centralized platform. Its real-time syncing and... - Source: dev.to / over 1 year ago
Https://mint.intuit.com/ scroll down and expand mint help center. Source: almost 2 years 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 2 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: almost 3 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 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
YNAB - Working hard with nothing to show for it? Use your money more efficiently and control your spending and saving with the YNAB app.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
GnuCash - A personal and small-business financial-accounting software, licensed under GNU/GPL and available for Linux, Windows, Mac OS X, BSD, and Solaris.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Quicken - Stay in control of your monthly cash flows, budgets, and expenditures. Quicken provides a navigable interface where you can organize your debit, credit, and savings, and build good habits accordingly.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.