Trending repositories for topic convolutional-neural-networks
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
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.
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...
VIP cheatsheets for Stanford's CS 230 Deep Learning
A large-scale dataset of both raw MRI measurements and clinical MRI images.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Best Practices, code samples, and documentation for Computer Vision.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
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...
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...
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
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.
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
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...
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
A large-scale dataset of both raw MRI measurements and clinical MRI images.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".
Techniques for deep learning with satellite & aerial imagery
Repository for most of the code from my YouTube channel
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
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
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
VIP cheatsheets for Stanford's CS 230 Deep Learning
A MNIST-like fashion product database. Benchmark :point_down:
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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...
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Best Practices, code samples, and documentation for Computer Vision.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
Top 200 deep learning Github repositories sorted by the number of stars.
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
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...
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm
A doctor's prescription system with handwriting recognition.
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。
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
A Bot to play Eve Online leveraging various methods including popular machine learning tools. At this point, its a full blown AI.
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
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.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Code for intrusion detection system (IDS) development using CNN models and transfer learning
Efficient CUDA kernels for training convolutional neural networks with PyTorch.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
A MNIST-like fashion product database. Benchmark :point_down:
Best Practices, code samples, and documentation for Computer Vision.
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.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
VIP cheatsheets for Stanford's CS 230 Deep Learning
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Efficient CUDA kernels for training convolutional neural networks with PyTorch.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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
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...
A large-scale dataset of both raw MRI measurements and clinical MRI images.
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
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
[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
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
Attention temporal convolutional network for EEG-based motor imagery classification
[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...
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...
Code for intrusion detection system (IDS) development using CNN models and transfer learning
Contains Solutions to Deep Learning Specailization - Coursera
A doctor's prescription system with handwriting recognition.
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
[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...
Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.12
Efficient CUDA kernels for training convolutional neural networks with PyTorch.
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
[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...
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A MNIST-like fashion product database. Benchmark :point_down:
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
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...
VIP cheatsheets for Stanford's CS 230 Deep Learning
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Best Practices, code samples, and documentation for Computer Vision.
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
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
[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".
GUI application for Anime4K shaders which allows to save upscaled video to disk
Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
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
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。
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
[ISPRS J P&RS 2023] Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
Creating digital art using Neural Network based Style Transfer.
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some bas...
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree