Statistics for topic cnn
RepositoryStats tracks 632,784 Github repositories, of these 573 are tagged with the cnn topic. The most common primary language for repositories using this topic is Python (317). Other languages include: Jupyter Notebook (158), C++ (23)
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Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
AI powered plant disease detection and assistance platform currently available as an App and API.
Unified learning approach for egocentric hand gesture recognition and fingertip detection.
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目
Convolutional accelerator kernel, target ASIC & FPGA
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Repository For Codes And Concept Taught in Udemy Course
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
G. Zhao, Q. Ye, L. Sun, Z. Wu, C. Pan, and B. Jeon. "Joint Classification of Hyperspectral and LiDAR Data Using a Hierarchical CNN and Transformer," in IEEE TGRS, 2023.
hardware design of universal NPU(CNN accelerator) for various convolution neural network
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable...
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
A hands-on collection of foundational computer vision projects for everyone.
ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), ...
Deep learning-based image captioning with Flickr8k dataset. Code includes data prep, model training, and a Streamlit app.
Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"