Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
Blokirali ste korisnika/cu @gpucollective
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @gpucollective
-
GPU Data Scientist proslijedio/la je Tweet
Test pool performance for yourself w/ this self-contained Gist! git clone https://gist.github.com/gumdropsteve/a069b48112ca7ddb1791a3069f8dc4d6 … and run no_pool.py & yes_pool.py (in any order) then open up pool_vs_no_pool.ipynb and run all to see the speedup of a
#GPU memory pool on 2.54GB of CSV!#DataScience#SQL#Python https://twitter.com/blazingsql/status/1224388137800962048 …pic.twitter.com/g5IKq1ZB7J
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Session 02 is Tuesday! Join for cancer genomics live-coding as Dr.
@julie_t_wu (Stanford Medicine) and@cjnolet (@nvidia@rapidsai) experiment with visual GPU UMAP for longitudinal analysis over thousands of cancer patients in GENIE /@Sagebio ! https://www.thedataridealongs.com pic.twitter.com/H8a2963CmtHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Happening tomorrow. Cool way to learn about precision medicine / genetics / cancer, GPU data frames, and UMAP clustering ("uniform manifold approximation & projection"), chat w/ folks in the middle of it, and post-show, even try for yourself!https://twitter.com/DataRideAlongs/status/1224126857856995328 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Reduce overhead & further improve your
#GPU accelerated#DataScience with@RAPIDSai Memory Manager in BlazingSQL! Check out our new blog post for more: https://blog.blazingdb.com/gpu-memory-pools-and-performance-with-blazingsql-9034c427a591?source=friends_link&sk=9d68298a6dd76b27bd727e5c0531d6e0 …?#SQLHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
We are very happy to announce the release of Panel 0.8! This release brings huge performance improvements, http://deck.gl support, improved JS linking, easier debugging, support for responsive
@vega_vis &@plotlygraphs plots. All powered by@bokeh http://blog.holoviz.org/panel_0.8.0.html …pic.twitter.com/9cZqsGHHptHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Ridge regression for classification with
@rapidsai library:https://www.kaggle.com/tunguz/cats-ii-with-rapids-ridge-regression …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Turbo-telegram update: https://github.com/gumdropsteve/turbo-telegram/releases/tag/0.0.3-beta … Made Taxi Dashboard SQL based & added a Notebook to download & pre-process Jan - Dec 2015 yellow cab data w/
@BlazingSQL! >20GB CSV downloaded, transformed, rewritten, read back & visualized in 7min 52sec w/ a single T4 on AWS.pic.twitter.com/5D1wPpFjXK
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
The next Numba release (0.49) will be March 2020 as we do some some serious internal refactoring and cleanup. We've already deleted more than 7000 lines of code!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
If you didn't know, Domino's has joined the
#OpenSource#GPU#DataScience community!https://blogs.nvidia.com/blog/2020/01/13/dominos-pizza-ai/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
40x faster predictions for even the deepest random forests with
@rapidsai FIL’s new sparse forest support -https://nvda.ws/2GBuZ11Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL): https://openai.com/blog/openai-pytorch/ …pic.twitter.com/lgvqDdWDoB
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Dask 2.10.0 is now available. This release includes bug fixes and compatibility with the imminent
@pandas_dev 1.0 release! Support for pandas' new nullable boolean and string data types has already been added. Read the release notes at https://docs.dask.org/en/latest/changelog.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Numba 0.48.0 has been released! This one comes shortly after 0.47.0 as we had many PRs that didn't make it in time. Quite a few bug fixes (including many CUDA fixes thanks to NVIDIA) and many new string methods contributed by Intel. More details:https://groups.google.com/a/continuum.io/forum/?utm_medium=email&utm_source=footer#!topic/numba-users/FkgzhvAA4lU …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
If you’d like to use RAPIDS in Kaggle competitions, now it can be easily installed with the dataset below. It takes ~40 seconds to install, compared to ~6 minutes when using conda install. https://www.kaggle.com/cdeotte/rapids/
#kaggle#rapids#gpuHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Pandas 1.0 is here! * Read the release notes: https://pandas.pydata.org/pandas-docs/version/1.0/whatsnew/v1.0.0.html … * Read the blogpost reflecting on what 1.0 means to our project: https://dev.pandas.io/pandas-blog/pandas-10.html … * Install with conda / PyPI: https://pandas.pydata.org/pandas-docs/version/1.0.0/getting_started/install.html … Thanks to our 300+ contributors to this release.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
We’re excited to announce a new Anaconda product! Manage and secure open-source
#datascience and#machinelearning in your organization with Anaconda Team Edition.https://bit.ly/31253oCHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Multi-node distribution across multiple
#GPUs w/ BlazingSQL is made simple thru Dask! Just start up dask-scheduler & worker, then pass your Client into BlazingContext upon initialization and you're good to go! See more in docs: https://docs.blazingdb.com/docs/distributed#section-multiple-node-multiple-gpu-with-dask-scheduler-and-dask-worker …#Distributed#SQL#Pythonpic.twitter.com/bU48CjD3gD
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Using OpenAI Gym and PyBullet to train an open-source 3D printed robot https://github.com/nicrusso7/rex-gym …pic.twitter.com/e7P5xzafpc
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
So excited to share the latest blog on
#cybersecurity alert analysis from our awesome@RAPIDSai#CLX team!@bianca_rhodes@BartleyRhttps://twitter.com/rapidsai/status/1221886149028769793 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GPU Data Scientist proslijedio/la je Tweet
Facebook AI has effectively solved the task of point-goal navigation by AI agents in simulated environments, using only a camera, GPS, and compass data. Agents achieve 99.9% success in a variety of virtual settings, such as houses and offices. https://ai.facebook.com/blog/near-perfect-point-goal-navigation-from-25-billion-frames-of-experience/ …pic.twitter.com/Cogyp90CwW
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.