drewschaub

drewschaub's Stars

• SciML/DifferentialEquations.jl

  Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

  Language:Julia2.9k56891231

• RosettaCommons/RFdiffusion

  Code for running RFdiffusion

  Language:Python1.9k44219367

• baker-laboratory/rf_diffusion_all_atom

  Public RFDiffusionAA repo

  Language:Python34592957

• nrbennet/dl_binder_design

  Language:Python27377365

• microsoft/protein-frame-flow

  Fast protein backbone generation with SE(3) flow matching.

  Language:Python237101524

• JuliaArrays/ArrayInterface.jl

  Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  Language:Julia134149937

• aspuru-guzik-group/ORGANIC

  Code repo for optimizing distributions of molecules.

  Language:Jupyter Notebook129121463

• jasonkyuyim/multiflow

  Language:Python1293138

• SciML/SciMLExpectations.jl

  Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

  Language:Julia6594520

• ranjanan/MonteCarloIntegration.jl

  A package for multi-dimensional integration using monte carlo methods

  Language:Julia384917

• SciML/DifferenceEquations.jl

  Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.

  Language:Julia329486

• ShijiZ/PyRESP

  Language:Python11102