xiaomingfu2013

xiaomingfu2013's Stars

• SciML/FiniteStateProjection.jl

  Finite State Projection algorithms for chemical reaction networks

  Language:Julia198

• StochSS/GillesPy2

  Modeling toolkit for biochemical simulation

  Language:Python7332

• FavioVazquez/ds-cheatsheets

  List of Data Science Cheatsheets to rule the world

  14.8k3.9k

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.4k896

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k940

• alanderos91/BioSimulator.jl

  A stochastic simulation framework in Julia.

  Language:Julia477

• MakieOrg/Makie.jl

  Interactive data visualizations and plotting in Julia

  Language:Julia2.4k315

• luwill/Machine_Learning_Code_Implementation

  Mathematical derivation and pure Python code implementation of machine learning algorithms.

  Language:Jupyter Notebook1.5k600

• 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:Julia2.9k231

• ZIB-IOL/FrankWolfe.jl

  Julia implementation for various Frank-Wolfe and Conditional Gradient variants

  Language:Julia9618

• SciML/Catalyst.jl

  Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

  Language:Julia46578

• SciML/JumpProcesses.jl

  Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

  Language:Julia14035

• SciML/DiffEqOperators.jl

  Linear operators for discretizations of differential equations and scientific machine learning (SciML)

  Language:Julia28274

• SciML/ModelingToolkit.jl

  An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

  Language:Julia1.4k210

• maleadt/juliacon21-gpu_workshop

  Material for the 2021 GPU workshop at JuliaCon

  Language:Jupyter Notebook17244

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.4k2.6k

• SciML/ReservoirComputing.jl

  Reservoir computing utilities for scientific machine learning (SciML)

  Language:Julia20939

• nih-niddk-mbs/StochasticGene.jl

  Julia module to fit and analyze stochastic gene transcription models

  Language:Julia82

• vavrines/Kinetic.jl

  Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

  Language:Julia13315

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python159k52.7k

• robertfeldt/BlackBoxOptim.jl

  Black-box optimization for Julia

  Language:Julia43956

• omlins/ParallelStencil.jl

  Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

  Language:Julia32538

• luraess/julia-parallel-course-EGU21

  Solving differential equations in parallel with Julia

  Language:Julia495

• FluxML/Flux.jl

  Relax! Flux is the ML library that doesn't make you tensor

  Language:Julia4.6k611

• JuliaLang/julia

  The Julia Programming Language

  Language:Julia46k5.5k

• dynamicslab/SINDy-PI

  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

  Language:MATLAB13144

• joeat1/GNN_note

  图神经网络整理

  55084

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.8k762

• yiyej/gcn_tutorial

  A tutorial on Graph Convolutional Neural Networks

  Language:Python1