Just noting that the allennlp metrics package is the best public implementation I've seen.
— Delip Rao (@deliprao) April 10, 2019
Just noting that the allennlp metrics package is the best public implementation I've seen.
— Delip Rao (@deliprao) April 10, 2019
an ethics checklist for people who are working on data projects, by @mikeloukides @hmason @dpatil pic.twitter.com/xXHcrO79yN
— Rachel Thomas (@math_rachel) April 9, 2019
#rstats {hrbrthemes} 📦 just added `theme_ipsum_pub()` which uses the #spiffy Public Sans font (https://t.co/KlQFEQgF0Y) from the @USWDS.
— boB 🇷udis (@hrbrmstr) April 9, 2019
Tis in dev-mode on all the usual social coding suspects.
Windows testing 🙏🏽 as font names can be diff there & I dislike booting legacy OSes pic.twitter.com/sV9rF9R1wz
MLIR is a new compiler framework designed to optimize the execution time of #machinelearning models and make it easier to add support for new devices to TensorFlow.
— TensorFlow (@TensorFlow) April 8, 2019
Check out this article to learn more → https://t.co/9hFRoScSnU
and our Github repo → https://t.co/lL8kuWdZpd pic.twitter.com/blSawHLc8Z
💥 NeuralCoref 4.0 is out!
— Thomas Wolf (@Thom_Wolf) April 8, 2019
Blazing fast English coreference resolution w. SpaCy
☀️ Now on pip: pip install neuralcoref
🍃 Model 10x smaller
💫 Compatible w. SpaCy 2.1
🔗 https://t.co/CzuJZi9TuV
We've also added a neat feature to incorporate Domain Knowledge
Here is an example👇 pic.twitter.com/3kFSwRP9xI
doccano: Open Source Text Annotation Tool for ML https://t.co/AevJYVqgic
— PyCoder’s Weekly (@pycoders) April 7, 2019
😮 Don't think I've seen marginal histograms before…
— Mara Averick (@dataandme) April 2, 2019
"easyalluvial 0.2.0 released" ✍️ Björn Koneswarakanthahttps://t.co/L0yrobIKGE #rstats #dataviz pic.twitter.com/gJs0M1m1W0
💥 Soon is now!
— Mara Averick (@dataandme) March 29, 2019
⭐ @yutannihilat_en's gghighlight lets you colour and label selectively w/ predicate functions...
🙈 All the hard work shown in the gif is done for you!
👉 "Highlight Lines and Points in 'ggplot2' • gghighlight" https://t.co/U45Ay3Wpla #rstats #dataviz pic.twitter.com/7iJTG3VrAp
I’m happy to announce @RAPIDSai 0.6! https://t.co/cw0YRuP4lF discusses new features, improved docs, & project priorities. Bringing @nvidia #GPU, contributors, & #OSS (@dask_dev, @numba_jit, @ApacheArrow, et al) together is amazing, but community growth is pure joy! Onwards to 1.0
— Joshua Patterson (@datametrician) March 29, 2019
New blogpost: Integrating CUDA-accelerated machine learning algorithms in @rapidsai with hyper-parameter optimization from @scikit_learn and @dask_dev
— Dask (@dask_dev) March 28, 2019
Summary: Things work! But we have work to do for performance.https://t.co/MLvQ1rPmPw
Work by @quasiben
gtable 0.3.0 on its way to CRAN.
— Thomas Lin Pedersen (@thomasp85) March 25, 2019
Free performance for everyone!
Prefect is what happens when an Airflow developer and a Dask developer get together to make a data engineering platform.
— Matthew Rocklin (@mrocklin) March 25, 2019
I've enjoyed watching this company develop and am excited to see how people use it, now that the core is open source. https://t.co/cLqP7jngVw