liwind

Feng's starred repositories

tinymesh

TinyMesh is a light-weight mesh processing library in C/C++.

Language:C++MPL-2.08700

PyQt-Fluent-Widgets

A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.

Language:PythonGPL-3.0520100

hmm

Heightmap meshing utility.

Language:CMIT56500

DrakeTyporaTheme

十二种主题风格 - Material Google JetBrains Vue Juejin Purple Ayu Dark

Language:CSSMIT282800

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:PythonGPL-3.06322100

imgui-vtk

test on how to integrate vtk into glfw + imgui project

Language:C++MIT10300

jynew

JinYongLegend-like RPG Game Framework with full Modding support and 10+ hours playable samples of game.

Language:C#NOASSERTION789400

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

Language:HTMLCC0-1.010809700

excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

Language:TypeScriptMIT7915900

gp

Language:Jupyter NotebookMIT6400

pythonguis-examples

Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2

Language:PythonMIT404400

python_earth_science_book

Language:Jupyter NotebookMIT17300

jigsaw-geo-matlab

MATLAB bindings for JIGSAW(GEO): an unstructured mesh generator for geoscientific modelling.

Language:MATLABNOASSERTION3800

DEM2TRN

Algorithm to fit Triangular Regular Networks (meshes of rectangular triangles) to Digital Elevation Models.

Language:MATLABGPL-3.0200

awesome-optimal-transport

A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.

MIT19800

OTML_DS3_2018

Practical sessions for the Optimal Transport and Machine learning course at DS3 2018

Language:Jupyter NotebookMIT8300

pointcloud-differential

Gradient, divergence, Laplacian on point clouds. Useful for setting up and solving PDEs on point clouds and learning anisotropic features in deep learning.

Language:PythonMIT7000