Widely customizable deep leaning tool for solving and analyzing solutions of Schrödinger equation

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Build your neural network easy and fast, 莫烦Python中文教学

This is the code of my master thesis.

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

Physics-informed learning of governing equations from scarce data

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

用于求解薛定谔方程的数值解

Original implementation of fast PINN optimization with RBA weights

Python package for temporal evolution of initial conditions under the generalized Lugiato-Lefever equation. To cite this Original Software publication: https://www.sciencedirect.com/science/article…

Learning in infinite dimension with neural operators.

This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.

Datasets, Transforms and Models specific to Computer Vision

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

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, m…

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

一个简易的模块化物理信息神经网络实现(PINN)

A Self-Training Physics-Informed Neural Network for Partial Differential Equations

Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm

A library for scientific machine learning and physics-informed learning