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University of California, Berkeley
- Berkeley, CA
- https://scholar.google.com/citations?user=63NllQcAAAAJ&hl=en
- in/yingze-wang-806099299
Stars
Fully automated docking pipeline (can be run in distributed environments)
Training and prediction scripts for Chemprop models trained on ADMET datasets
High-performance Differentiable Molecular Mechanics Force Field Library
A free open-source package for free energy perturbation calculation
ALCHEMI Toolkit-Ops is a collection of optimized batch kernels to accelerate computational chemistry and material science workflows.
Modifying Large Language Models for Directed Chemical Space Exploration
Particle-mesh based calculations of long-range interactions in PyTorch
Workflow to clean up and fix structural problems in protein-ligand binding datasets
DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable implementation of molecular force field models.
Inhibitor Mining protocol (iMiner) including Consensus Docking and MD Analysis
deepmodeling / dflow
Forked from dptech-corp/dflowDflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows) employing Argo Workflows as the workflow engine.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A Python package for manipulating atomistic data of software in computational science