Reduced Basis 相关的热门 GitHub AI项目仓库

一个基于数据驱动的模型降阶库，重点关注大规模并行计算和线性子空间方法。

将包含Basis-MelGAN、MelGAN、HifiGAN和Multiband-HifiGAN模型，未来可能还会加入NHV模型。

Hrrformer：一种神经符号自注意力模型（ICML23）

Pytorch RBF 层实现了 Pytorch 中的径向基函数层。径向基函数网络可以用来逼近函数。

AI4Science：Python/Matlab实现的在线和窗口动态模态分解 (在线DMD和窗口DMD)

用于分类问题的径向基函数神经网络 (RBFNN) 的实现

参数化偏微分方程映射的降维代理模型构建

无监督学习问题训练一个微分同胚时空网格，该网格将偏微分方程的输出序列注册到一个非均匀参数/时变网格上，从而使学习网格上映射数据的Kolmogorov n-宽度最小化。

交互式工具下的概率响应模型拟合

PySHRED: Package for Shallow Recurrent Decoding

人工神经网络算法

健康档案分析：揭示疾病模式、药物指导和风险分级——机器学习项目

两种超参数全局优化算法的比较：径向基函数和贝叶斯高斯过程

This repository is the code basis for the paper titled "Efficient Training: Federated Learning Cost Analysis"

比萨大学计算机工程硕士（MSc Computer Engineering）人工智能课程的大学项目。该项目设计并实现了多种人工智能算法（多层感知器MLP、径向基函数网络RBFN、模糊推理系统FIS、卷积神经网络CNN、循环神经网络RNN），并应用于生物物理信号数据集。

基于POD、PINN和POD-神经网络方法求解非线性椭圆问题

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.

AI chatbot fine-tuned on the DeepSeek-R1 model for medical domain applications. Efficiently trained using LoRA and 4-bit quantization to provide accurate healthcare-related responses with reduced memory consumption.

A curated notebook for Machine Learning, AI, Deep Learning, and Computer Vision research and development. This repository supports activities such as model training, fine-tuning, and experimenting with state-of-the-art (SOTA) models on a weekly basis.

A curated notebook for Machine Learning, AI, Deep Learning, and Computer Vision research and development. This repository supports activities such as model training, fine-tuning, and experimenting with state-of-the-art (SOTA) models on a weekly basis.