该项目的重点是基于EEGNet架构和Pytorch库实现CNN模型,用于使用脑电数据对运动图像任务进行分类。

depthwise-convolutions 开源项目推荐(12 个)
depthwise-convolutions 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 全部 12
GitHub 共 12 个仓库,已全部展示该项目在 GitHub 上没有填写描述
该代码利用PyTorch实现了EEG Net深度学习模型。EEG Net模型基于题为《EEGNet:用于基于脑电图的脑机接口的紧凑卷积神经网络》的研究论文。
Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"
This educational repository focuses on working with three types of medical data: tabular data, ECG and EEG signals. It provides implementations of machine learning and deep learning models for processing and analyzing these medical data, with practical projects based on recent research articles.
Advanced Digit Recognition System using a Hybrid Modern-CNN (ResNet + ConvNeXt) & Ensemble Inference Engine. Features a robust OpenCV preprocessing pipeline and FastAPI backend.
A novel architecture for enhancing image classification. Reference paper: https://arxiv.org/abs/2104.12294
Smart Automation Controller for Precision Agriculture
Depthwise Convolution on AMD XDNA2 NPU - bf16 3×3 depthwise conv2d built with IRON, from a scalar kernel to a vectorized 8-column / 32-core design.
Gravepine disease detection with Deep Learning and Transfer Learning.
Implementation and research paper of MobileNet
Metal kernel for stateful causal depthwise convolution with optional SiLU on Apple Silicon, for use with PyTorch/MPS.
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 12 个项目;原始页面见 https://github.com/topics/depthwise-convolutions。
- 该话题在 GitHub 上共有 12 个仓库, 本站收录的是其中最热门的 12 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 12 个项目累计 390 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
- 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。