Interesting new "fastai-serving" project:
— Jeremy Howard (@jeremyphoward) July 16, 2019
"A Docker image for serving fastai models, mimicking the API of Tensorflow Serving. It is designed for running batch inference at scale."https://t.co/mJgXHbdXqA
Interesting new "fastai-serving" project:
— Jeremy Howard (@jeremyphoward) July 16, 2019
"A Docker image for serving fastai models, mimicking the API of Tensorflow Serving. It is designed for running batch inference at scale."https://t.co/mJgXHbdXqA
Really interesting #NLP framework for dialogue systems by @UberEng https://t.co/WzjFbmHkgj
— Xavier 🎗️ (@xamat) July 16, 2019
"pytorch-pretrained-bert" ➡️ "pytorch-transformers"
— Thomas Wolf (@Thom_Wolf) July 16, 2019
Install with `pip install pytorch-transformers`
Quickstart: https://t.co/rk4GZDSDWq
Release notes: https://t.co/pjmUH7Gbz5
Documentation (work in progress): https://t.co/9HronWmz1b
🔥Pytorch-Transformers 1.0🔥
— Thomas Wolf (@Thom_Wolf) July 16, 2019
Six NLU/NLG architectures: BERT, GPT, GPT-2, Transfo-XL, XLNet, XLM
Total: 27 pretrained models
Still the same
-Superfast onboarding
-SOTA scripts: GLUE, SQuAD, Text generation
New
-Unified API
-Access hidden-states, attentions...
-Torchscript
-... pic.twitter.com/eiRnLEwvFh
Nice implementations and visual examples of the powerful new CutMix and RICAP augmentation methods, along with cutout and MixUp exampleshttps://t.co/Vy8ghq8zK9 pic.twitter.com/oP0SSYlI7g
— Jeremy Howard (@jeremyphoward) July 15, 2019
🎩 Ethical scraping made easier for R users…
— Mara Averick (@dataandme) July 15, 2019
"{polite}: Web etiquette for R users" ✍️ @dmi3k https://t.co/BZnUQfWV5X #rstats pic.twitter.com/v8mJyjY6d2
HTTP Toolkit: Capture, View and Explore Your Python Code's HTTP Traffic https://t.co/MGEdRIR3M5
— PyCoder’s Weekly (@pycoders) July 14, 2019
And #rstats {ggeconodist} lives! https://t.co/N7CfQfqtQ6 (that link has links to all the social coding sites where you can get it from)
— boB 🇷udis (@hrbrmstr) July 14, 2019
NOTE: the *actual* legend_key (vs the highly stylized legend) is not done yet (PRs welcome) and docs are there but kinda raw. pic.twitter.com/4I2ruv4EGw
Just learned about mpl-scatter-density https://t.co/bfQd9X0oNk which does @datashader like plots using matplotlib. Looks really sweet! pic.twitter.com/Jm3O2NPCLC
— Andreas Mueller (@amuellerml) July 13, 2019
Code from my lightning talk: ensemble topic modelling in Python with pLSA for fast stable topic modelling with the enstop package: https://t.co/fXTHqwbWIu #SciPy2019
— Leland McInnes (@leland_mcinnes) July 12, 2019
Announcing the release of three new multilingual Universal Sentence Encoder (USE) modules, useful for a variety of semantic similarity applications and now providing support for question-answer retrieval tasks. Learn more here! ↓ https://t.co/UOTErdrxxP
— Google AI (@GoogleAI) July 12, 2019
pandas-flavor: a #Python package for integrating custom functions into the pandas DataFrame interface. #programming #DataSciencehttps://t.co/cyb5pDonQh
— Randy Olson (@randal_olson) July 11, 2019
Looks like a great way to standardize + improve readability of data cleaning code.
Thanks for the tip, @ericmjl! pic.twitter.com/28Mta5paI2