sidenotes VS stylegan2-projecting-images

try out curvenote.com it's not latest but has a lot of powerful features -- including latex support for equations

try using curvenote.com instead - write in something like a sciencey good docs interface, output to Tex, PDF or word whenever you want. Has full support for math, cross referencing, citations, bibtex etc.,, and output to latex templates for specific journals etc...

probably curvenote.com ?

citation manager, keep a regular schedule, stay fit and use tools that help you - paperpile.com curvenote.com

take a look at curvenote.com

Try curvenote.com it's a visual editor like google docs but block-based (a little like notion) and has maths support via latex.

Grammarly doesn't work in overleaf does it? nor in MS Word locally? it does on other online tools like curvenote.com or google docs though, and maybe MS Office but I haven't tried. I'm totally comfortable using grammarly

have a look at mathpix.com and curvenote.com both interesting, the first for going from handwriting to LaTeX and the second for a WYSIWYG editor for writing with latex maths support

A Colab notebook.

To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab.

Please head over to the Google Colab

But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free.

访问 Google Colab 。

Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals.

Open your web browser and navigate to Google Colab.

Using Google Colab you can develop Python codes, similar to Jupyter Notebooks. You will have an environment prepared with various Python libraries. In addition you have tips on small codes for development, some tutorials, gihub connection, cloud -saved notebooks and more.