Trending repositories for topic convolutional-neural-networks
Techniques for deep learning with satellite & aerial imagery
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A MNIST-like fashion product database. Benchmark :point_down:
VIP cheatsheets for Stanford's CS 230 Deep Learning
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
Techniques for deep learning with satellite & aerial imagery
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Realtime human head pose estimation with ONNXRuntime and OpenCV.
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Techniques for deep learning with satellite & aerial imagery
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A MNIST-like fashion product database. Benchmark :point_down:
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解、和大模型基础和推理性能优化分析。
VIP cheatsheets for Stanford's CS 230 Deep Learning
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Best Practices, code samples, and documentation for Computer Vision.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
Keras implementation of a CNN network for age and gender estimation
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解、和大模型基础和推理性能优化分析。
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.
Stanford sky images and PV power generation dataset for solar forecasting related research and applications
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
Age and Sex Prediction from Image - Convolutional Neural Network with Artificial Intelligence
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estima...
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
Contains Solutions to Deep Learning Specailization - Coursera
Real time face-mask detection using Deep Learning and OpenCV
Techniques for deep learning with satellite & aerial imagery
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A MNIST-like fashion product database. Benchmark :point_down:
VIP cheatsheets for Stanford's CS 230 Deep Learning
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Best Practices, code samples, and documentation for Computer Vision.
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解、和大模型基础和推理性能优化分析。
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
all kinds of text classification models and more with deep learning
High-efficiency floating-point neural network inference operators for mobile, server, and Web
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Self-Supervised Scalable Deep Compressed Sensing (IJCV 2024) [PyTorch]
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
GUI application for Anime4K shaders which allows to save upscaled video to disk
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解、和大模型基础和推理性能优化分析。
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
Explainable Defect Detection using Convolutional Neural Networks: Case Study
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
Creating digital art using Neural Network based Style Transfer.
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Contains Solutions to Deep Learning Specailization - Coursera
Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
This is a survey that reviews deep learning models and benchmark datasets related to blind motion deblurring and provides a comprehensive evaluation of these models.
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
GUI application for Anime4K shaders which allows to save upscaled video to disk
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.12
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
A MNIST-like fashion product database. Benchmark :point_down:
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
VIP cheatsheets for Stanford's CS 230 Deep Learning
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Best Practices, code samples, and documentation for Computer Vision.
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
This is a survey that reviews deep learning models and benchmark datasets related to blind motion deblurring and provides a comprehensive evaluation of these models.
基于人工智能的中医图像分类, 本存储库包含一个针对中药的人工智能图像分类系统。该项目的目标是通过输入图像准确识别和分类各种中草药和成分。这个仓库里藏着一个神秘的宝藏——一个专为中药打造的人工智能图像分类系统。就像一位奇幻冒险中的导航者，这个项目的任务是将神秘的图像输入，变幻成准确的中草药和成分分类。让我们一起揭开这个数字世界中的迷雾，解锁植物的秘密，用技术和智能描绘中药的未知领域。
Self-Supervised Scalable Deep Compressed Sensing (IJCV 2024) [PyTorch]
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
[ISPRS J P&RS 2023] Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
A doctor's prescription system with handwriting recognition.
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解、和大模型基础和推理性能优化分析。
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
[ICIP'24 Oral Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Creating digital art using Neural Network based Style Transfer.
Quantum-classical hybrid convolutional neural network for classical image classification