Popular GitHub Repositories for Dynamic Mode Decomposition

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

The machine learning toolkit for time series analysis in Python

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

NMA Computational Neuroscience course

A simple LLM client for Emacs

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Speedy Wavenet generation using dynamic programming :zap:

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

TensorLy: Tensor Learning in Python.

Simulation of spiking neural networks (SNNs) using PyTorch.

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

An Industrial Graph Neural Network Framework