#github
I have been following an issue on math support for github markdown (github/markup/issues/274).
One thousand years later ...
Math support in Markdown | The GitHub Blog
https://github.blog/2022-05-19-math-support-in-markdown/
I have been following an issue on math support for github markdown (github/markup/issues/274).
One thousand years later ...
Math support in Markdown | The GitHub Blog
https://github.blog/2022-05-19-math-support-in-markdown/
The GitHub Blog
Math support in Markdown
We are pleased to announce that math expressions can now be rendered natively in Markdown on GitHub
#ml
I have heard about deepeta before but never thought it was a transformer.
According to this blog post by uber, they are using an encoder decoder architecture with linear attention.
This blog post also explains how they made a transformer fast.
DeepETA: How Uber Predicts Arrival Times Using Deep Learning
https://eng.uber.com/deepeta-how-uber-predicts-arrival-times/
I have heard about deepeta before but never thought it was a transformer.
According to this blog post by uber, they are using an encoder decoder architecture with linear attention.
This blog post also explains how they made a transformer fast.
DeepETA: How Uber Predicts Arrival Times Using Deep Learning
https://eng.uber.com/deepeta-how-uber-predicts-arrival-times/
#ml
This is hilarious.
Source:
https://mobile.twitter.com/arankomatsuzaki/status/1529278580189908993
Paper: https://arxiv.org/abs/2205.11916
This is hilarious.
Source:
https://mobile.twitter.com/arankomatsuzaki/status/1529278580189908993
Paper: https://arxiv.org/abs/2205.11916
#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
The Connected Homebuilding Cloud Platform | Higharc
Simplify your homebuilding operations. Design, sell, estimate, and build with one solution. Save time, reduce rework, and improve margins.
#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 haven’t 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 haven’t 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/
#ml
This is also like one thousand years later...
PyMC 4.0 Release Announcement — PyMC project website
https://www.pymc.io/blog/v4_announcement.html
This is also like one thousand years later...
PyMC 4.0 Release Announcement — 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...
#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
#fun
😂😂😂
[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/
😂😂😂
[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
#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
Editor’s note, Oct. 20, 2023 – 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 consequences…
#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/
#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
#ml
https://arxiv.org/abs/2205.02302
Kreuzberger D, Kühl 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, Kühl 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...
#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.
#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 “sexiest job of the 21st century.” 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 growth…
#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. “Forecasting: Theory and Practice.” International Journal of Forecasting 38 (3): 705–871.
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 I’m 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. “Forecasting: Theory and Practice.” International Journal of Forecasting 38 (3): 705–871.
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 I’m sure they will cover them in future releases.
Forecasting-Encyclopedia
Forecasting: theory and practice