Looking to self-publish your own interactive online courses? 🎓🐍
— Ines Montani 〰️ (@_inesmontani) March 3, 2020
It's now even easier, thanks to the amazing @hayleyfboyce, who contributed a super detailed guide for my little open-source framework. Plus a Dockerfile for faster setup!
📖 Read it here: https://t.co/6lPy9KR01K pic.twitter.com/6zM4YVXRJ1
"pytorch-optimizer -- collections of ready to use optimization algorithms for PyTorch" https://t.co/4yuEIWqhn2
— Sebastian Raschka (@rasbt) March 2, 2020
If you're into #BERT-based models, @HuggingFace's Transformers, @TensorFlow 2.x, and sentence classification, be sure to check out ERNIE: Bert's best friend. 😊https://t.co/LGtfxOaazq pic.twitter.com/uHdMM1PPof
— 👩💻 DynamicWebPaige (@DynamicWebPaige) March 2, 2020
Just released ipympl 0.5.0! 🐍📈
— Martin Renou (@martinRenou) February 27, 2020
Check out the interactive @matplotlib back-end for @ProjectJupyter, based on #ipywidgets
This release includes:
- Code cleanup and performance improvements
- A resize handle for plotshttps://t.co/WEMuGL49FW pic.twitter.com/Ob2STWFTrs
helium - Selenium-python, 50% easier. Helium is the best Python library for web automation. https://t.co/iJoHQtRvRE
— Python Trending (@pythontrending) February 27, 2020
We're launching `fastpages`, a platform which allows you to host a blog for free, with no ads. You can blog with @ProjectJupyter notebooks, @office Word, directly from @github's markdown editor, etc.
— Jeremy Howard (@jeremyphoward) February 24, 2020
Nothing to install, & setup is automated!https://t.co/dNSA0oQUrN
The growing popularity of JAX could be a disaster for @NvidiaAI unless they fix the poor support for GPUs in XLA.
— Jeremy Howard (@jeremyphoward) February 23, 2020
Currently JAX only runs well on Google's TPUs. https://t.co/NQHxqVAGR0
Torchmeta is a collection of extensions and data loaders for few-shot learning and meta-learning. It won first place at the Global PyTorch Summer Hackathon last year. Learn more in the blog post from Tristan Deleu, the project author: https://t.co/jFaPaF8GX0
— PyTorch (@PyTorch) February 21, 2020
Introducing the TensorFlow Constrained Optimization library, a new tool to configure and train #MachineLearning models based on combinations of metrics, making it easy to formulate and solve problems of interest to the ML fairness community. Learn more at https://t.co/vVdqfHgWnL pic.twitter.com/9yuDLb4YxF
— Google AI (@GoogleAI) February 21, 2020
Today we are releasing Haiku and RLax, our JAX libraries for neural networks and reinforcement learning. Check them out at https://t.co/nWfmeLMkSS and https://t.co/x7hEFPQkc5 ! #jax #AI #RL #deeplearning #machinelearning
— DeepMind (@DeepMind) February 20, 2020
Visualize your sklearn model performance with just one line of code! 👾
— TypeError: Lavanya 👀 (@lavanyaai) February 19, 2020
Excited to show you the new @weights_biases sklearn integration.https://t.co/jLMQmKg2qU
Give it a shot and let me know what you think.#MachineLearning #DataScience #100DaysofMLCode pic.twitter.com/728OhL3BI6
FastHugs - fastai-v2 and @HuggingFace Transformershttps://t.co/Ht20zhfkDN pic.twitter.com/QqrMAd8EkA
— Jeremy Howard (@jeremyphoward) February 18, 2020
