Notetaking without distractions or delays — Search & Create Omnibox — WYSIWYG Markdown — Natural Language Reminders — Customizable Global Hotkey.
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TensorFlow might be a bit more popular than Recollectr. We know about 7 links to it since March 2021 and only 6 links to Recollectr. 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.
Been there myself! For one you may not have heard of, check out Recollectr. Source: about 1 year ago
Perhaps I'm biased as the creator, but as someone who also has ADHD, Obsidian seems overwhelming. I'm the creator of Recollectr which has a lot of the same functionality built into a much more streamlined UI. Source: almost 2 years ago
I wasn't satisfied with Standard Notes either; so how about Recollectr? Source: almost 2 years ago
I've spent the past few years making Recollectr, a desktop-first note-taking app to help you, "Record and recall without breaking your flow.". Source: almost 2 years ago
We just pushed the new version (3.16.199) out via the auto-updater; it's also available on https://recollectr.io too. Source: about 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 1 year 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 2 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 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 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 2 years ago
Agenda - A date-focused note taking app for both planning and documenting your projects.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Left - A minimalist multi-platform text editor
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.