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这是一个简单的技术科普教程项目，主要聚焦于解释一些有趣的，前沿的技术概念和原理。每篇文章都力求在 5 分钟内阅读完成。
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
使用改良的Transformer模型应用于多维时间序列的分类任务上
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.
Fast data visualization and GUI tools for scientific / engineering applications
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
A simple feature-based time series classifier using Kolmogorov–Arnold Networks
Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Probabilistic time series modeling in Python
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🔥 1Panel offers an intuitive web interface for a Linux server / VPS, making it easy to manage OpenClaw agents, local LLMs, websites, databases, containers, files, and scheduled tasks.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Simple C Compiler written in Python
🔥🔥🔥 强大的低代码动态表单组件，通过JSON数据驱动表单渲染，适配移动端，支持可视化设计。提高开发者对表单的开发效率。目前在政务系统、OA系统、ERP系统、电商系统、流程管理等系统中已稳定应用。
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
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