Munich, Germany

Mohamed Amine Ketata

Intermediate
@ketatam

Student in M.Sc "Robotics, Cognition, Intelligence" at the Technical University of Munich. Very passionate about Machine Learning, especially DL and RL.

DiffDock-PP. Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)

237

Exploring-Munchausen-Reinforcement-Learning. PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces

15

SyCo. Official Implementation of our Paper "Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space" (ICLR 2025)

8

multi-domain-unet-fastMRI. Multi domain U-Net, multi-channel data standardization and GRAPPA preprocessing for Magnetic Resonance Imaging (MRI) reconstruction.

7

rdb-diffusion. Official Implementation of the Paper "Joint Relational Database Generation via Graph-Conditional Diffusion Models" (NeurIPS 2025)

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