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Tags: Science and math
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313–336 of 687 · Most stars

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

pyMOR - Model Order Reduction with Python

  • python
  • model-reduction
  • model-order-reduction
  • control-systems

Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/

One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.

  • cae
  • cfd
  • computational-mechanics
  • explicit-dynamics

The TiGL Geometry Library to process aircraft geometries in pre-design.

Source code for "DeepDTA: deep drug-target binding affinity prediction"

  • protein-ligand-interactions
  • convolutional-neural-networks

Ark -- Archetype-based Entity Component System (ECS) for Go.

  • ecs
  • entity-component-system
  • go
  • golang

Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".