Yet another package for computing multidimensional non-uniform fast Fourier transforms (NUFFTs) in Julia

Julia implementation of the Non-equidistant Fast Fourier Transform (NFFT)

Julia interface to the nonuniform FFT library FINUFFT

Multiblob method for rigid bodies

PyTorch NFFT and Fast Kernel Sums via Slicing

Differentiable Cosmological Forward Model

High performance computational platform in Python for the spectral Galerkin method

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

A collection of interactive notebooks to explain concepts of quantum mechanics and related topics

A fast direct solver for surface PDEs

chunkie: A MATLAB integral equation toolbox

Mathematical Introduction to Electronic Structure Theory

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…

Convolutional layer for Kolmogorov-Arnold Network (KAN)

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

Introductory materials (notes, Python notebook, etc.) for fluctuating hydrodynamics (FHD)

Machine learning for physicists

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

A CUDA project for Molecular Dynamics, Brownian Dynamics, Hydrodynamics... intended to simulate a very generic system constructing a simulation with modules.

ETH Zürich Deep Learning in Scientific Computing Master's course 2023

Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

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…

🌟 ChatGenTitle：使用百万arXiv论文信息在LLaMA模型上进行微调的论文题目生成模型

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

LLMs as Copilots for Theorem Proving in Lean

Fast low-rank matrix approximation in Julia