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🦠Fight Covid-19 with BERT💊:
I am happy to announce the release of two BERTs further pre-trained on the @kaggle CORD-19 dataset (https://t.co/ezDmtSieBX), namely ClinicalCovidBERT and BioCovidBERT. Both models are on @huggingface. More info on the repo (https://t.co/bhldkv77pT)
Abstract hands
GAN generated hands, trained on a dataset of images from subway-hands Instagram account
#generative #creativecoding #aiart @runwayml
Major update to our #CoronavirusDataset: now featuring >2,200 molecular interactions involving proteins from #SARSCoV2 / #COVID19 virus, #SARS and other members of the Coronaviridae family. Over 40 new publications added since our first release: https://t.co/CO7H2qGqIm
Someone used the planimetrics dataset of sidewalk polygons to determine approximate widths and suggest where there is not enough room to maintain #socialdistance in NYC. Well done.
https://t.co/OiTbyUVSiZ
Two points re these two images:
1. If you think all generative art looks the same, you're following the wrong generative artists.
2. Architecture matters! These were created with the exact same dataset, yet they have radically different styles.
We've also put all the specimens that inspired the
@adobestock collection into dataset @NHM_Data
https://t.co/75DsS7uISm
Click 'go to resource' to view each insect.
I have trained custom DenseNet like lightweight model the increases the size of image by the factor of 2. I trained my model on an anime episode and used it on faces dataset. Here is comparison between bilinear interpolation and my super-resolution. #Anime #SuperResolution
Our article on #RomanLipksi and @annaridler, AI artists using their own paintings and drawings as datasets, is finally up on @FlashArtOnWeb 🤖🎨
Written together with Alex Estorick
Read it here: https://t.co/1P6bUJfMIm
#creativeAI #AIart
Free structured template for radiologists reporting suspected #COVID19 CT scans courtesy of @smart_reporting
With widespread use of this template we could create a labelled dataset for further research.
https://t.co/b82WV3d8ei
Two new @LINZLDS #lidar datasets now avail from OpenTopography: Palmerston North, Manawatu-Whanganui, NZ 2018; Christchurch & Ashley River, Canterbury, NZ 2018 - 1100 sq km of data: https://t.co/Gjfy0DIZiT 📷 1: wind turbines in motion; 📷 2: lidar intensity, Waimakariri River
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning. https://t.co/Eyb6z2mArd
Daily sea surface temperatures from the Group for High Resolution Sea Surface Temperature (@GHRSST) for 1981-2016 are now available in the #ClimateDataStore! This dataset was produced by the @ESA_EO Climate Change Initiative #SST team. #CDS
➡️https://t.co/qcbEnKKq0K
IBM decided to use a mathematical approach to quantifying “diversity” and “evenness,” so that a consistent measure of evenness exists throughout the dataset for every feature quantified.
We have just published WFDE5, a bias-adjusted ERA5 reanalysis dataset. It was developed solely within our #ClimateDataStore Toolbox!
WFDE5 will contribute to ISIMIP to adjust GCMs & to evaluate & drive a wide range of impact models.
Try for yourself➡️https://t.co/bqIh5VIUaK
DiverseDepth predicts depth in a broader range of scenes, with more detail, than most depth models do in their best dataset. So they made a harder dataset.
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
abs: https://t.co/wvy4FOzNsR
白面鸮头像生成器。 🦉
StyleGAN2の フィリオプシス画像生成
StyleGan2 finetune test。
It's hard to find a 4 GPU machine to run the algorithm:3。
Thx 2 @gwern for u dataset ,and anime portraits by @SkyLi0n。
#arknights #ptilopsis #明日方舟 #白面鸮 #アークナイツ #フィリオプシス
Some of the diversity in MUNIT samples (because of the dataset I use, some end up slightly blurry—not shown here)
For my @DataVizSociety End of Decade Challenge, given that there is an increasing number of fires lately, I decided to visualize fires based on NASA's FIRMS data, focusing on MODIS's active fire dataset: https://t.co/W8OQTt6bRx
#dataviz #visualization #datavizsociety #fires #data