x9m

x9m's Stars

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java107k56424513.4k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.9k2831.7k8.2k

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18.4k149142.2k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1124211.4k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.8k2978513.3k

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.4k22771.4k

• paperswithbacktest/awesome-systematic-trading

  A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

  Language:Python4.5k1233702

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.6k61131555

• jayroxis/PINNs

  PyTorch Implementation of Physics-informed Neural Networks

  Language:Jupyter Notebook56658135

• omniscientoctopus/Physics-Informed-Neural-Networks

  Investigating PINNs

  Language:Jupyter Notebook54265134

• habom2310/Heart-rate-measurement-using-camera

  real time application to measure heart rate

  Language:Python4552029145

• i207M/PINNacle

  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

  Language:Python26641041

• cb-geo/mpm

  CB-Geo High-Performance Material Point Method

  Language:C++2522323183

• venturi123/DRLinFluids

  An open-source Python platform of coupling deep reinforcement learning and OpenFOAM

  Language:Python14052128

• NVlabs/DiSECt

  Differentiable Cutting Simulator

  Language:Python1068212

• yizheng-wang/Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN

  This is the code of my master thesis.

  Language:Python1023010

• AdityaLab/pinnsformer

  Language:Python1012820

• adevaucorbeil/karamelo

  An open source parallel C++ package for the material point method (MPM)

  Language:C++7961323

• Qinxiaoye/xpfem

  A python package for finite element method (FEM) in solid mechanics

  Language:Python682110

• tdegeus/GooseFFT

  Micro mechanical computations with an FFT-based method

  Language:Python487522

• JinshuaiBai/PIRBN

  Physics-informed radial basis network

  Language:Python28317

• Qinxiaoye/FEM3D-C3D8-

  3D FEM code (matlab)

  Language:MATLAB26103

• Kitware/iMSTK

  Mirror of https://gitlab.kitware.com/iMSTK/iMSTK

  Language:C++246111

• jinaojakezhang/DJTLED

  A direct Jacobian total Lagrangian explicit dynamics finite element algorithm for real-time simulation of hyperelastic materials

  Language:C++12103

• FuhgJan/mixedDEM

  Language:Python10105

• pantale/ANN-ConstitutiveLaw

  Artificial Neural Network Constitutive Law

  Language:Jupyter Notebook10301

• saurabhdeshpande93/convolution-aggregation-attention

  Language:Mathematica6100

• SofaDefrost/SofaViscoElastic

  A Plugin for the SOFA framework to describe linear viscoelastic and visco-hyperelastic materials

  Language:C++5426

• freekdh/cspc520-ml-course

  Among the many ways to solve Initial Value Problems (IVP), the most popular methods such as Finite Element Method and Finite Difference Method suffer from the curse of dimensionality. We use an alternate mesh-free approach that elevates solvers from this constraint by approximating the solution using a linear combination of RBF-basis functions. We use this approach on ODE and PDE example problems, including the Schrodinger equation. To improve learning of the parameters, we implement a -never tried before- adaptive sampling technique based on Metropolis Hastings algorithm and conclude that this substantially improves the convergence rate.

  Language:Jupyter Notebook4

• tajtac/node_diffusion

  Language:Jupyter Notebook4200