- flair by @zalandoresearch: https://t.co/SuFwWPwnhE
— Sebastian Ruder (@seb_ruder) September 13, 2019
- transfer-nlp by @feedly: https://t.co/eGa6hxahKX
- AllenNLP by @ai2_allennlp: https://t.co/K4Nxx3fhJr
- ... and probably several more
- flair by @zalandoresearch: https://t.co/SuFwWPwnhE
— Sebastian Ruder (@seb_ruder) September 13, 2019
- transfer-nlp by @feedly: https://t.co/eGa6hxahKX
- AllenNLP by @ai2_allennlp: https://t.co/K4Nxx3fhJr
- ... and probably several more
ooooooh check out the spiffy new vowpal wabbit website:https://t.co/Af4H9DV2bP
— Hal Daumé III (@haldaume3) September 13, 2019
🐧
🐇💨
"Vowpal Wabbit is a fast and flexible learning system that empowers you to test and explore real data and find meaningful outcomes to real problems." pic.twitter.com/kMdFGcctoB
tidyr 1.0.0 now on CRAN 🎉: https://t.co/sLnI2SlUsp — new pivot_longer() and pivot_wider() functions, better rectangling tools (unnest_longer(), unnest_wider(), hoist()), improved expand_grid(), new (un)nesting interface, and much much more! #rstats
— Hadley Wickham (@hadleywickham) September 13, 2019
The v1.0 Release of my sparse learning library includes a lot of bugfixes and more rigorous ImageNet baselines: https://t.co/Ne7X4IYDea
— Tim Dettmers (@Tim_Dettmers) September 13, 2019
Our paper on accelerating training through sparsity was also updated with dense equivalent results and new analyses: https://t.co/V6I2XtauqG pic.twitter.com/My6kAiIA7K
Huh, just hearing about it for the first time, looks handy & convenient: "sktime -- A scikit-learn compatible Python toolbox for learning with time series data" https://t.co/XdV1RdQanq
— Sebastian Raschka (@rasbt) September 12, 2019
We release the largest publicly available language model: CTRL has 1.6B parameters and can be guided by control codes for style, content, and task-specific behavior. Incredible generations!
— Richard Socher (@RichardSocher) September 11, 2019
Paper https://t.co/0Wr2XiOl2V
Github https://t.co/PA8GxqtS9V
Blog https://t.co/Q2xQFtKQQE pic.twitter.com/PRidiAzJOM
Very pleased to share that the #rstats #rmarkdown 📦 has its own #pkgdown site:https://t.co/3abpC5Efwq
— Alison Hill (@apreshill) September 10, 2019
Please take it for a spin 🌀
Includes:
🔗 to all of @StatGarrett's step-by-step lessons,
🔗 to the @rstudio community category for getting help,
➕ a 🆕 "learn" vignette pic.twitter.com/COMNnGARVT
Their GitHub repo contains the game engine, code for writing client-side bots, and reference RL agent implementations. https://t.co/PPmWc8p7US
— hardmaru (@hardmaru) September 10, 2019
Automagically turn regression code into a LaTex equation with #rstats ... this is pretty slick. https://t.co/qJHr3SVGjU
— JD Long (@CMastication) September 9, 2019
time to try out BoTorch. looks great https://t.co/vXbYW786KD
— Kyunghyun Cho (@kchonyc) September 9, 2019
friendly-traceback: Simplified Python Tracebacks https://t.co/UMRhtTvKMe
— PyCoder’s Weekly (@pycoders) September 7, 2019
google/tf-quant-finance: High-performance TensorFlow library for quantitative finance. https://t.co/omLUjFbCb6
— Bojan Tunguz (@tunguz) September 7, 2019