tplot - A library for creating text-based graphs in the terminal. https://t.co/lRcJYlSI3q #python pic.twitter.com/JJDAkJsQpN
— Python Weekly (@PythonWeekly) January 17, 2022
tplot - A library for creating text-based graphs in the terminal. https://t.co/lRcJYlSI3q #python pic.twitter.com/JJDAkJsQpN
— Python Weekly (@PythonWeekly) January 17, 2022
I’ve been using #AnnotatedEquations in my recent papers. I think it really adds to the readability and understanding of the math.
— Sibin (@sibinmohan) January 10, 2022
Here are some examples. It uses #tikz in #latex.
Let me know if you like it. Happy for any feedback. [GitHub link: next tweet]#AcademicChatter
+ pic.twitter.com/QJrm2Wbvyy
deepchecks - Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort. See our docs: https://t.co/JPGQK3lRr0 https://t.co/XjDOyKNown
— Python Trending (@pythontrending) January 8, 2022
ray-skorch - distributed PyTorch on Ray with sklearn API https://t.co/vwx9d6FZPw
— /MachineLearning (@slashML) January 5, 2022
Wow, just realized that Watermark (IPython/Jupyter magic) turned 8 years old! Also just released a new version (https://t.co/mcWXveqldQ), and thx to contribs, you can now print your Conda env. Hah, managing notebooks for research, teaching, & book, I wish we added this earlier 😅 pic.twitter.com/c3XnNJtpfi
— Sebastian Raschka (@rasbt) January 4, 2022
This is a terrific comparison of the main free GPU @ProjectJupyter providers available. I agree with the conclusion - the new @awscloud SageMaker Studio Lab is a fantastic option.
— Jeremy Howard (@jeremyphoward) December 9, 2021
It's my 1st choice now for training models where I don't need much disk space. https://t.co/M1XsEoMBH6
Minitorch🔥(https://t.co/41DIF6vAUl, v2021) Build-it-yourself deep learning.
— Sasha Rush (@srush_nlp) December 6, 2021
Learn about auto-diff, tensors, gpu's, and advanced nn models. Build everything from scratch in pure python with full unit test coverage and interactive visualizations. pic.twitter.com/DmSLwuzoZQ
Theseus: A library for differentiable nonlinear optimization built on PyTorch to support constructing various problems in robotics and vision as end-to-end differentiable architectures
— AK (@ak92501) December 3, 2021
github: https://t.co/m4rCmyMDFn
Now free (formerly $99): Ari Lamstein's 2 online courses on using his {choroplethr} #rstats package to make maps with R.
— Sharon Machlis (@sharon000) December 2, 2021
Mapmaking in R with Choroplethr https://t.co/XDyzEQHvta
Shapefiles for R Programmers https://t.co/4tGzVvhjz4#rspatial #gis #dataviz pic.twitter.com/xWpfvERz0X
Observable adds native support for SQL (PostgreSQL, MySQL, SQLite, and more)! https://t.co/5p7hv47KA7
— Mike Bostock (@mbostock) December 2, 2021
Introducing @PyTorchLive, an easy to use library of tools for creating on-device ML demos on Android and iOS. With Live, you can build a working mobile app ML demo in minutes. Learn more at https://t.co/6yv9zwBDth and post your demo with #PyTorchLive. pic.twitter.com/hnOlB9E00r
— PyTorch (@PyTorch) December 1, 2021
For deep learning friends: I've re-written arxiv-sanity to be smaller/sweeter/more scalable, to help tame new paper barrage on arxiv: https://t.co/i8ZaNbjWdy
— Andrej Karpathy (@karpathy) December 1, 2021
- ✍️ tag papers
- ⬆️ get svm+tfidf paper recommendations
- ✉️✨new: get them via email!
run locally or use my instance pic.twitter.com/mzB7MUoWqz