#fun
Higharc is a start-up helping people design houses using generative designs.
The demo looks amazing.
https://higharc.com/
Higharc is a start-up helping people design houses using generative designs.
The demo looks amazing.
https://higharc.com/
Higharc
Homebuilding AI platform for builders | Higharc
Higharcβs homebuilding AI helps builders design homes, configure market-proven plans and create shoppable 3D visuals, estimates and permit-ready documents.
β€2
#data
If you are building a simple dashboard using python, streamlit is a great tool to get started. One of the problems in the past was to create multipage apps.
To solve this problem, I created a template for multipage apps a year ago.
https://github.com/emptymalei/streamlit-multipage-template
But today, streamlit officially introduced multipage support. And it looks great. I havenβt built any dashboards for a while, but to me, this is still the go-to solution for a dashboard.
https://blog.streamlit.io/introducing-multipage-apps/
If you are building a simple dashboard using python, streamlit is a great tool to get started. One of the problems in the past was to create multipage apps.
To solve this problem, I created a template for multipage apps a year ago.
https://github.com/emptymalei/streamlit-multipage-template
But today, streamlit officially introduced multipage support. And it looks great. I havenβt built any dashboards for a while, but to me, this is still the go-to solution for a dashboard.
https://blog.streamlit.io/introducing-multipage-apps/
π2
#ml
This is also like one thousand years later...
PyMC 4.0 Release Announcement β PyMC project website
https://www.pymc.io/blog/v4_announcement.html
This is also like one thousand years later...
PyMC 4.0 Release Announcement β PyMC project website
https://www.pymc.io/blog/v4_announcement.html
PyMC project website
PyMC 4.0 Release Announcement
We, the PyMC core development team, are incredibly excited to announce the release of a major rewrite of PyMC3 (now called just PyMC): 4.0. Internally, we have already been using PyMC 4.0 almost ex...
π₯2
#ml
Mitchell M, Wu S, Zaldivar A, Barnes P, Vasserman L, Hutchinson B, et al. Model cards for model reporting. Proceedings of the Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM; 2019. doi:10.1145/3287560.3287596
https://arxiv.org/abs/1810.03993
Mitchell M, Wu S, Zaldivar A, Barnes P, Vasserman L, Hutchinson B, et al. Model cards for model reporting. Proceedings of the Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM; 2019. doi:10.1145/3287560.3287596
https://arxiv.org/abs/1810.03993
π1
#fun
πππ
[P] No, we don't have to choose batch sizes as powers of 2: MachineLearning
https://www.reddit.com/r/MachineLearning/comments/vs1wox/p_no_we_dont_have_to_choose_batch_sizes_as_powers/
πππ
[P] No, we don't have to choose batch sizes as powers of 2: MachineLearning
https://www.reddit.com/r/MachineLearning/comments/vs1wox/p_no_we_dont_have_to_choose_batch_sizes_as_powers/
Reddit
From the MachineLearning community on Reddit: [P] No, we don't have to choose batch sizes as powers of 2
Explore this post and more from the MachineLearning community
π2
π2
#career
https://www.microsoft.com/en-us/research/blog/ai4science-to-empower-the-fifth-paradigm-of-scientific-discovery/
https://www.microsoft.com/en-us/research/blog/ai4science-to-empower-the-fifth-paradigm-of-scientific-discovery/
Microsoft Research
AI4Science to empower the fifth paradigm of scientific discovery - Microsoft Research
Editorβs note, Oct. 20, 2023 β The post was updated to remove information related to the Amsterdam lab, as those details have since changed. Over the coming decade, deep learning looks set to have a transformational impact on the natural sciences. The consequencesβ¦
π2
#ml
I was playing with dalle-mini ( https://github.com/borisdayma/dalle-mini ).
So... in the eyes of Dalle-mini,
1. science == chemistry (? I guess),
2. scientists are men.
Tried several times, same conclusions.
It is so hard to fight against the bias in ML models.
---
Update: OpenAI is fixing this.
https://openai.com/blog/reducing-bias-and-improving-safety-in-dall-e-2/
I was playing with dalle-mini ( https://github.com/borisdayma/dalle-mini ).
So... in the eyes of Dalle-mini,
1. science == chemistry (? I guess),
2. scientists are men.
Tried several times, same conclusions.
It is so hard to fight against the bias in ML models.
---
Update: OpenAI is fixing this.
https://openai.com/blog/reducing-bias-and-improving-safety-in-dall-e-2/
π€1
#ml
The recommended readings serve as a good curriculum for transformers.
https://web.stanford.edu/class/cs25/index.html#course
The recommended readings serve as a good curriculum for transformers.
https://web.stanford.edu/class/cs25/index.html#course
Stanford CS25
CS25: Tranformers United!
Disussing the latest breakthroughs with Transformers in diverse domains
β€4
#ml
https://arxiv.org/abs/2205.02302
Kreuzberger D, KΓΌhl N, Hirschl S. Machine Learning Operations (MLOps): Overview, definition, and architecture. arXiv [csLG]. 2022 [cited 17 Jul 2022]. doi:10.48550/ARXIV.2205.02302
https://arxiv.org/abs/2205.02302
Kreuzberger D, KΓΌhl N, Hirschl S. Machine Learning Operations (MLOps): Overview, definition, and architecture. arXiv [csLG]. 2022 [cited 17 Jul 2022]. doi:10.48550/ARXIV.2205.02302
arXiv.org
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. However, it is highly challenging to automate and operationalize...
π1
#python
Guidelines for research coding. It is not the highest standard but is easy to follow.
https://goodresearch.dev/
Guidelines for research coding. It is not the highest standard but is easy to follow.
https://goodresearch.dev/
goodresearch.dev
The Good Research Code Handbook
This handbook is for grad students, postdocs and PIs who do a lot of programming as part of their research. It will teach you, in a practical manner, how to organize your code so that it is easy to understand and works reliably.
π1
#career
> so the job of data scientist will only continue to grow in its importance in the business landscape.
>
> However, it will also continue to change. We expect to see continued differentiation of responsibilities and roles that all once fell under the data scientist category.
https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century
> so the job of data scientist will only continue to grow in its importance in the business landscape.
>
> However, it will also continue to change. We expect to see continued differentiation of responsibilities and roles that all once fell under the data scientist category.
https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century
Harvard Business Review
Is Data Scientist Still the Sexiest Job of the 21st Century?
Ten years ago, the authors posited that being a data scientist was the βsexiest job of the 21st century.β A decade later, does the claim stand up? The job has grown in popularity and is generally well-paid, and the field is projected to experience more growthβ¦
β€2
#ml
Fotios Petropoulos initiated the forecasting encyclopaedia project. They published this paper recently.
Petropoulos, Fotios, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, et al. 2022. βForecasting: Theory and Practice.β International Journal of Forecasting 38 (3): 705β871.
https://www.sciencedirect.com/science/article/pii/S0169207021001758
Also available here: https://forecasting-encyclopedia.com/
The paper covers many recent advances in forecasting, including deep learning models. There are some important topics missing but Iβm sure they will cover them in future releases.
Fotios Petropoulos initiated the forecasting encyclopaedia project. They published this paper recently.
Petropoulos, Fotios, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, et al. 2022. βForecasting: Theory and Practice.β International Journal of Forecasting 38 (3): 705β871.
https://www.sciencedirect.com/science/article/pii/S0169207021001758
Also available here: https://forecasting-encyclopedia.com/
The paper covers many recent advances in forecasting, including deep learning models. There are some important topics missing but Iβm sure they will cover them in future releases.
Forecasting-Encyclopedia
Forecasting: theory and practice
π1
π2
#fun
> participants who spent more than six hours working on a tedious and mentally taxing assignment had higher levels of glutamate β an important signalling molecule in the brain. Too much glutamate can disrupt brain function, and a rest period could allow the brain to restore proper regulation of the molecule
https://www.nature.com/articles/d41586-022-02161-5
> participants who spent more than six hours working on a tedious and mentally taxing assignment had higher levels of glutamate β an important signalling molecule in the brain. Too much glutamate can disrupt brain function, and a rest period could allow the brain to restore proper regulation of the molecule
https://www.nature.com/articles/d41586-022-02161-5
Nature
Why thinking hard makes us feel tired
Nature - Difficult tasks can lead to build-up of a signalling molecule in the brain, triggering fatigue.
β€1π1
#fun
I became a beta tester of DALLE. Played with it for a while and it is quite fun. See the comments for some examples.
Comment if you would like to test some prompts.
I became a beta tester of DALLE. Played with it for a while and it is quite fun. See the comments for some examples.
Comment if you would like to test some prompts.
π5