Data Science by ODS.ai 🦜
51.8K subscribers
312 photos
29 videos
7 files
1.48K links
First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @haarrp
Download Telegram
​​#StyleGan2 applied to maps

Ever imagined what happens in Inception on bigger scale?

#mapdreamer #GAN
​​This Olesya doesn't exist

Author trained StyleGAN2-ADA network on 2445 personal photos to generate new photo on the site each time there is a refresh or click.


Website: http://thisolesyadoesnotexist.glitch.me
Olesya's personal site: https://monolesan.com

#StyleGAN2 #StyleGAN2ADA #generation #thisXdoesntexist
​​πŸ”₯Alias-Free Generative Adversarial Networks (StyleGAN3) release

King is dead! Long live the King! #StyleGAN2 was #SOTA and default standard for generating images. #Nvidia released update version, which will lead to more realistic images generated by the community.

Article: https://nvlabs.github.io/stylegan3/
GitHub: https://github.com/NVlabs/stylegan3
Colab: https://colab.research.google.com/drive/1BXNHZBai-pXtP-ncliouXo_kUiG1Pq7M

#GAN #dl
🦜 Hi!

We are the first Telegram Data Science channel.


Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.


Ultimate Posts

* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda


Open Data Science

ODS.ai is an international community of people anyhow related to Data Science.

Website: https://ods.ai



Hashtags

Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.

#deeplearning #DL β€” post about deep neural networks (> 1 layer)
#cv β€” posts related to Computer Vision. Pictures and videos
#nlp #nlu β€” Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition β€” related to audio information processing
#ar β€” augmeneted reality related content
#rl β€” Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart β€” about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 β€” related to special architectures or frameworks
#coding #CS β€” content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface β€” hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization


Chats

- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website

ODS resources

* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai

Feedback and Contacts

You are welcome to reach administration through telegram bot: @opendatasciencebot
​​There had been less posts than usual as you might have noticed, only because editor-in-chief's (mine) attention been directed to DeFi space in general and NFT in particular.

However once involved with the beauty of AI and art, one can't just exit it, so I've been working on an NFT-collection drop as an exercise to study the field. Because as Feynman taught us 'What I cannot create, I do not understand'.

After getting some early results with #StyleGAN2 I realised that I need to study how drop mechanics and everything else works and asked a very talented friend to help me with generating the art for the collection. On my humble scale, he is top 0.1% researcher in the field (though he might argue with that, or you might, but let's wait for his scientific papers published here to judge on that), so I was sure that the art will be dope.

And it was so great we decided to make a real NFT drop instead of purely experimental one. Soon we will publish all the intersting technical details on the architecture and approache we used to generate beautiful toadz. So stay tuned for the post on how to generate astonishing art and subsribe to the collection twitter not to miss any details.

Twitter: https://twitter.com/toadverseNFT