Also, TabM is our first tabular DL research project based on Pixi. I highly recommend trying Pixi instead of conda/pip/poetry. Pixi makes it so easy to maintain and share reproducible development environments! prefix.dev is the amazing team behind Pixi!

For PyTorch users interested in TabM, we provide: 📄 A minimal single-file PyTorch implementation 💻 A Jupyter notebook with a usage example See the updated documentation: github.com/yandex-researc…

I am excited to announce that I will join the University of Zurich as an assistant professor in August this year! I am looking for PhD students and postdocs starting from the fall. My research is on optimization, federated learning, machine learning, privacy, and unlearning.

I'd like to share our new diffusion distillation method, SwD, which produces few-step generators with progressive resolution scaling over the diffusion process. On SD3.5, SwD matches the speed of two full-size steps but with much better quality. Demo & models are released. (1/9)