polytt VS albumentations

Not a job per se, but some friends and I wrote a library for building compositional chatbots (like for IRC not LLMs necessarily) encoded as Mealy Machines: https://github.com/cofree-coffee/cofree-bot/

That project then has since led to a long term collaboration with the Topos Institute where we are building type theory for Polynomial Functors: https://github.com/toposInstitute/polytt

Polynomial Functors are a really powerful abstraction from Category Theory which subsumes the co-algebraic approach to finite state machines used in `cofree-bot` and which can also be used to encode wiring diagrams, tactics engines, game semantics, neural networks, and dynamical systems in general.

You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations

One of the members of the core team of our open-source library https://albumentations.ai/

It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.

Or at least that is what the hiring manager later said.

I am one of the creators and maintainers of https://albumentations.ai/.

- 12800+ stars

Is something planned to support data augmentations? Something like https://albumentations.ai/

Here you go: https://albumentations.ai/

I think they should use some data augmentation techniques like I am using for Infinity AI if you wanna see more here. Note that most of these do not work for image generation.

Our second approach was a more automated one. Here the idea was to try out an image augmentation library, Albumentations, and use it for adversarial attacks. This time, instead of one-shot images, we applied the transformations at random time ranges. We chose for these transformations also to be more subtle than then one-shot images, such as vertical flips, grayscaling, downscaling, …

Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project

I think this is the most popular open source project: https://github.com/albumentations-team/albumentations

You can also curate your own dataset by using open source images (https://universe.roboflow.com/search?q=faces%20images%3E1000) and open source augmentations (https://github.com/albumentations-team/albumentations). Or you can do use the augmentation UI (https://docs.roboflow.com/image-transformations/image-augmentation) to apply noise, blurring, shear, crop, etc.