AnesonTso

segment-anything-2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

NetLogo

turtles, patches, and links for kids, teachers, and scientists

Bend

A massively parallel, high-level programming language

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

EconRL

A collection of economics and finance papers that adopt reinforcement learning as a solution method.

yew

Rust / Wasm framework for creating reliable and efficient web applications

Bob

Bob 是一款 macOS 平台的翻译和 OCR 软件。

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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。

typst

A new markup-based typesetting system that is powerful and easy to learn.

Neurosymbolic_Tutorial

Python notebooks for a tutorial on neurosymbolic programming

hg-means

Source code of HG-means clustering, from "HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering". (Gribel and Vidal, 2019)

xmu-thesis-grd

厦门大学研究生学位论文 LaTeX 模板

gophernotes

The Go kernel for Jupyter notebooks and nteract.

graph-theory

Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

arogozhnikov.github.io

'Brilliantly wrong' blog, Machine Learning visualizations live here

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

hexo-theme-fluid

:ocean: 一款 Material Design 风格的 Hexo 主题 / An elegant Material-Design theme for Hexo

markdown-preview.nvim

markdown preview plugin for (neo)vim

vim-snipmate

snipMate.vim aims to be a concise vim script that implements some of TextMate's snippets features in Vim.

decisionmaking

Algorithms for Decision Making textbook

post--understanding-rl-vision

Understanding RL vision Distill article

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Pluto.jl

🎈 Simple reactive notebooks for Julia

computational-thinking

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

juliacn-2020

Materials used in the Turing.jl talk @ JuliaCN 2020

Turing.jl

Bayesian inference with probabilistic programming.

hexo-theme-aomori

🔥 Minimalist & Powerful Hexo Theme

StanfordQuadruped