We have been working on https://github.com/ramanlabs-in/hachi for some time. This ia a webapp that lets you seaech your videos and images locally. We really need feedback about ui/ux, features and usefullness of the webapp.

CLIP powered, offline tool, to make your videos and images searchable through natural language. Feedback appreciated.

Nice just looked these up. So what is your use case.. is it just gaming or browsing, development etc.

Everything I used my laptop for, which is mostly dev.

How can you exactly use these kind models in your application? Do you have to train a layer on top of these?

These are only available for non commercial use. But still good to have.

> Creative Commons Attribution-NonCommercial 4.0 International Public License

https://github.com/facebookresearch/dinov2/blob/main/README....

Yes, DINOv2 isn't open source, but it is source-available. Hopefully a free and open source alternative can replicate its performance.

DINOv2 exists today because of the contributions of countless other maintainers in their dependency tree https://thanks.dev/e/gh/facebookresearch/dependencies if they are going to license it for non commercial, it would be nice if they actually support their community.

also I couldn't find dataset. But I guess they did mention how they made the dataset. So replicating it should not hard.

and the answer to question of life is 42.

I guess it will be like assembly or low level programing languages like c for future ML engineers. Its good to know the basics but not always needed.

I think we still do not know exactly how it will shape our sociaty, but one thing is for sure, the products businesses will make with the help of AI, people have to buy them in the end. If they have no money how will people using AI benefit.

Thanks, what about resourses for reinforcement learning in robotics.

I'd say RL is an advanced robotics topic. There are some books out there that cover introductory or general RL aspects... after that you'll have to dive into papers and specific code bases.

Might not be a bad idea to start with a Python-based, practical RL book and move from practical demonstrations towards theory.

Although not an RL book, I really like Data-Driven Science and Engineering by Brunton and Kutz:

- https://www.databookuw.com/

- https://www.amazon.com/Data-Driven-Science-Engineering-Learn...

Steve Brunton also has an awesome youtube channel on dynamic systems, control, and machine learning.

Robotic books with some RL concepts (don't have either of these tbh):

- https://introduction-to-autonomous-robots.github.io/

- https://mitpress.mit.edu/9780262046169/learning-for-adaptive...

General texts/resources on adaptive control, optimal control, and RL:

- https://arxiv.org/abs/1912.03513

- http://www.cs.cmu.edu/~cga/dynopt/

- http://www.mit.edu/~dimitrib/RLbook.html

Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition by John Betts:

- https://my.siam.org/Store/Product/viewproduct/?ProductId=316...

Adaptive Control Tutorial by Ioannou and Fidan

- https://mitpress.mit.edu/9780262039246/reinforcement-learnin...

Control Systems and Reinforcement Learning by Sean Meyn looks to be on topic but I haven't read through it.

Thanks for the list.

Great. I uploaded a paper I was reading. You can easily summerise, and ask other questions.