-
Istituto Italiano di Tecnologia
- https://iit.it/people/pietro-morerio
Block or Report
Block or report pmorerio
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Official repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024
[NeurIPS 2023] Jigsaw: Learning to Assemble Multiple Fractured Objects
RETFound - A foundation model for retinal image
FAIR Chemistry's library of machine learning methods for chemistry
ETHmodlab / bcpaff
Forked from cisert/bcpaffExploring protein-ligand binding affinity prediction with electron density-based geometric deep learning
Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196
The official implementation of the Molecule Attention Transformer.
A tool for evaluating the predictive performance on activity cliff compounds of machine learning models
Auto3D generates low-energy conformers from SMILES/SDF
Scripts to generate the results from the ANI-2x paper.
OpenMM plugin to define forces with neural networks
Code for "Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models"
A deep learning package for many-body potential energy representation and molecular dynamics
A powerful and flexible machine learning platform for drug discovery
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
waqarahmed89 / PhysNet
Forked from MMunibas/PhysNetCode for training PhysNet models
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Simple bash script to launch gridsearch qsub jobs on PBS
Code for "Protein Docking Model Evaluation by Graph Neural Networks"
A Python script for parsing chemical mol and sdf files into a javascript format for use with the concept-formation python library.
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifi…