[CVPR 2025] MambaVision的PyTorch官方实施:Mamba-Transformer混合视觉主干
hybrid-models 开源项目推荐(51 个)
hybrid-models 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 51 个仓库Factored inference for discrete-continuous smoothing and mapping.
Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer IEEE JBHI https://ieeexplore.ieee.org/document/10006398
A high-performance, extensible aircraft GNC framework for Julia
Official repo for AMD hybrid models training and inference workflow
The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.
Hybrid ML models for thermodynamic property prediction
Ancestral sequence reconstruction using generative models
Monte Carlo simulation for financial instruments.
Separating the attention and recurrent memory channels of hybrid language models
COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification
Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation
Stateful local LLM inference manager with persistent KV-cache, native filesystem tools, and instant undo: built in C++ on llama.cpp
Production-grade ensemble framework combining XGBoost, PyTorch & Sklearn - 70%+ test coverage with Optuna optimization for time-series prediction
Source code for the paper "HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting".
Time Series Forecasting using Linear Regression, Trend, Seasonality, Hybrid models
A robust movie recommendation system using the MovieLens dataset, employing Collaborative Filtering, Matrix Factorization, and Hybrid Models to enhance recommendation accuracy and diversity.
This repository enables training Ultralytics object detection models with the anchor-free LADA assignment algorithm and DFL-based regression. Multi-model feature fusion, joint training, and hybrid inference are also supported.
Hybrid LSTM-XGBoost model for stock return prediction and portfolio optimization with backtesting and Explainable AI.
Final semester research paper analyzing Quantum CNNs vs. ResNet-50 for medical image classification, developed under deadline pressure using AI-assisted coding tools and neural architecture optimizers. Submitted as coursework to demonstrate quantum-classical hybrid vs. traditional CNN efficacy in diagnostic imaging.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/hybrid-models。
- 该话题在 GitHub 上共有 51 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2583 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。