The first pandas 1.0 release candidate is out! Pandas has become the de-facto data munging tool in Python, and this is a major development.https://t.co/i0NrrAymVc#machinelearning #ai #datascience #ds #ml
— Bojan Tunguz (@tunguz) January 13, 2020
The first pandas 1.0 release candidate is out! Pandas has become the de-facto data munging tool in Python, and this is a major development.https://t.co/i0NrrAymVc#machinelearning #ai #datascience #ds #ml
— Bojan Tunguz (@tunguz) January 13, 2020
Amazing! This real working deep learning image classifier is running, for free, on https://t.co/KxINILgEDv, is written entirely in @ProjectJupyter notebooks with ipywidgets, & deployed with Voila.
— Jeremy Howard (@jeremyphoward) January 13, 2020
13 lines of code :) Try it here:https://t.co/yQfVUZGaco pic.twitter.com/hR8nJFy6PX
checking out a new tool for large scale vector similarity search, looks pretty great from an initial glance. more focus on production use cases than FAISS. https://t.co/Vk6s1om9ca
— Jeremy Jordan (@jeremyjordan) January 12, 2020
The ggridges package now has a dedicated website. #rstats #ggplothttps://t.co/T2RWMHfxmF
— Claus Wilke (@ClausWilke) January 12, 2020
Norse is a PyTorch based library to work with spiking neural networks. Have examples for MNIST, CIFAR-10, and simple Gym environment.https://t.co/z7acQVfbWw
— hardmaru (@hardmaru) January 9, 2020
✨📊 Data analysis is one of the most important (and often overlooked!) tasks in large-scale natural language projects.
— 👩💻 DynamicWebPaige (@DynamicWebPaige) January 9, 2020
Luckily, an extension in @GoogleAI's Natural Questions called nq_browser.py makes it easy to browse through training and test data:
👩💻 https://t.co/yydenXdK0k pic.twitter.com/kpm9WLi7wC
Here's my infrastructure for running the Twitter bots at high scalability/minimal cost, and supplying them with human-curated tweets: https://t.co/yXwVYmpeq7
— Max Woolf (@minimaxir) January 9, 2020
It's a little overcomplicated, but somehow less so than other devops projects. https://t.co/vIB6KCltlQ
2.1 is out 👍
— Josh Gordon (@random_forests) January 9, 2020
Notable features:
- The experimental TextVectorization layer allows you to include your text processing logic inside your model (for cleaner deployment & serialization)
- The standard TF pip package now includes GPU support by default https://t.co/7b2SadvcdC
If you're interested in learning about what's coming in fastai v2, you might be interested in this overview of the key pieces.
— Jeremy Howard (@jeremyphoward) January 8, 2020
Many thanks to @bsaeta, @clattner_llvm, @DynamicWebPaige, & all the Swift for TensorFlow team for providing this opportunity.https://t.co/l3lUSGd8bP
I am not exaggerating when I say that starting to use tidylog consistently is the absolute best (free) thing I did to improve my mental health status in 2019 https://t.co/e178cDw7ap
— Brooke Watson Madubuonwu (@brookLYNevery1) January 7, 2020
I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start.
— Jeremy Howard (@jeremyphoward) January 7, 2020
I'm sharing it publicly today for the first time.https://t.co/fwUobkPvvp
📢 Blazeface is now available in browsers with TensorFlow.js!
— TensorFlow (@TensorFlow) January 6, 2020
The model detects faces and facial features in real-time 👨👩⏰
Try it out now → https://t.co/Km66lDh5R6 pic.twitter.com/3YAM7pBDGY