Trending repositories for topic convolutional-neural-networks
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...
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Techniques for deep learning with satellite & aerial imagery
A MNIST-like fashion product database. Benchmark :point_down:
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Contains Solutions to Deep Learning Specailization - Coursera
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
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
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...
Contains Solutions to Deep Learning Specailization - Coursera
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
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
🧠💬 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.
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
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A MNIST-like fashion product database. Benchmark :point_down:
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
🧠💬 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
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...
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
基于CNN的旋转验证码解决方案✨Predict the rotation angle of given captcha picture through CNN
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
[ISPRS J P&RS 2023] Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange
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...
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals (ICASSP 2021)
This repository is the official implementation of GaTector, which studies the newly proposed task, gaze object prediction. In this work, we build a novel framework named GaTector to tackle the gaze ob...
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.
基于CNN的旋转验证码解决方案✨Predict the rotation angle of given captcha picture through CNN
A Bot to play Eve Online leveraging various methods including popular machine learning tools. At this point, its a full blown AI.
GUI application for Anime4K shaders which allows to save upscaled video to disk
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
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
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...
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contains Solutions to Deep Learning Specailization - Coursera
A MNIST-like fashion product database. Benchmark :point_down:
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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...
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
Realtime human head pose estimation with ONNXRuntime and OpenCV.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
VIP cheatsheets for Stanford's CS 230 Deep Learning
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contains Solutions to Deep Learning Specailization - Coursera
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。
ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
A machine learning model to recognize Japanese characters (Kanji, Katakana, Hiragana)
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...
[ISPRS J P&RS 2023] Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange
Waste classification model to categorize waste accurately and easily.
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
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.
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...
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
[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.
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
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
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:
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
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...
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
VIP cheatsheets for Stanford's CS 230 Deep Learning
Best Practices, code samples, and documentation for Computer Vision.
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
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contains Solutions to Deep Learning Specailization - Coursera
High-efficiency floating-point neural network inference operators for mobile, server, and Web
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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 project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
GUI application for Anime4K shaders which allows to save upscaled video to disk
Contains Solutions to Deep Learning Specailization - Coursera
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]
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.
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
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
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.12
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...
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN