Data Science by ODS.ai 🦜

2021-01-12 13:06:52 ​​Interactive and explorable explanations

Collection of links to different explanations of how things work.

Link: https://explorabl.es
How network effect (ideas, diseases) works: https://meltingasphalt.com/interactive/going-critical/
How trust works: https://ncase.me/trust/

#howstuffworks #explanations Open / Comment

2021-01-11 11:28:44 ​​Characterising Bias in Compressed Models

Popular compression techniques turned out to amplify bias in deep neural networks.

ArXiV: https://arxiv.org/abs/2010.03058

#NN #DL #bias Open / Comment

2021-01-09 15:21:55 Open Software Packaging for Science

#opensource alternative to #conda.

Mamba (drop-in replacement) direct link: https://github.com/TheSnakePit/mamba
Link: https://medium.com/@QuantStack/open-software-packaging-for-science-61cecee7fc23

#python #packagemanagement Open / Comment

2021-01-06 12:55:05 multilingual datasets

- 611 datasets you can download in one line of python;
- 467 languages covered, 99 with at least 10 datasets;
- efficient pre-processing to free you from memory constraints;

https://github.com/huggingface/datasets Open / Comment

2021-01-06 03:03:17 ​​ New breakthrough on text2image generation by #OpenAI

DALL·E: Creating Images from Text

This architecture is capable of understanding style descriptions as well as complex relationship between objects in context.

That opens whole new perspective for digital agencies, potentially threatening stock photo sites and new opportunies for regulations and lawers to work on.

Interesting times!

Website: https://openai.com/blog/dall-e/

#GAN #GPT3 #openai #dalle #DL Open / Comment

2020-12-31 14:31:12 2020: A Year Full of Amazing AI Papers — A Review

https://www.kdnuggets.com/2020/12/2020-amazing-ai-papers.html

@ai_machinelearning_big_data Open / Comment

2020-12-28 16:53:56 ​​this comic does not exist

horror dataset + stylegan2


pdf book here

#gan #comix #book Open / Comment

2020-12-28 12:37:00 Open / Comment

2020-12-27 15:58:00 ​​Solving Mixed Integer Programs Using Neural Networks

Article on speeding up Mixed Integer Programs with ML. Mixed Integer Programs are usually NP-hard problems:

- Problems solved with linear programming
- Production planning (pipeline optimization)
- Scheduling / Dispatching

Or any problems where integers represent various decisions (including some of the graph problems).

ArXiV: https://arxiv.org/abs/2012.13349
Wikipedia on Mixed Integer Programming: https://en.wikipedia.org/wiki/Integer_programming

#NPhard #MILP #DeepMind #productionml #linearprogramming #optimizationproblem Open / Comment

2020-12-27 14:00:33 ​​QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning

Paper extends the Deep Quality-Value (DQV) family of al-
gorithms to multi-agent  reinforcement learning and outperforms #SOTA

ArXiV: https://arxiv.org/abs/2012.12062

#DQV #RL #Starcraft Open / Comment