Trending repositories for topic convolutional-neural-networks
High-efficiency floating-point neural network inference operators for mobile, server, and Web
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A MNIST-like fashion product database. Benchmark :point_down:
Techniques for deep learning with satellite & aerial imagery
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
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
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...
VIP cheatsheets for Stanford's CS 230 Deep Learning
Creating digital art using Neural Network based Style Transfer.
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
Attention temporal convolutional network for EEG-based motor imagery classification
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Creating digital art using Neural Network based Style Transfer.
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
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
Attention temporal convolutional network for EEG-based motor imagery classification
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomp...
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
A MNIST-like fashion product database. Benchmark :point_down:
Techniques for deep learning with satellite & aerial imagery
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
High-efficiency floating-point neural network inference operators for mobile, server, and Web
A MNIST-like fashion product database. Benchmark :point_down:
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
Best Practices, code samples, and documentation for Computer Vision.
🧠💬 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
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Attention temporal convolutional network for EEG-based motor imagery classification
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contains Solutions to Deep Learning Specailization - Coursera
SincNet is a neural architecture for efficiently processing raw audio samples.
✂️ Deep learning-based splice site predictor that improves spliced alignments
Creating digital art using Neural Network based Style Transfer.
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
A doctor's prescription system with handwriting recognition.
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
Attention temporal convolutional network for EEG-based motor imagery classification
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。
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
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Algorithm for user tracking and following (turtle bot control)
Contains Solutions to Deep Learning Specailization - Coursera
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
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
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
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
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contains Solutions to Deep Learning Specailization - Coursera
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
VIP cheatsheets for Stanford's CS 230 Deep Learning
Best Practices, code samples, and documentation for Computer Vision.
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
A sign language interpreter using live video feed from the camera.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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...
✂️ Deep learning-based splice site predictor that improves spliced alignments
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
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...
Contains Solutions to Deep Learning Specailization - Coursera
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
Creating digital art using Neural Network based Style Transfer.
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
A machine learning model to recognize Japanese characters (Kanji, Katakana, Hiragana)
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 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
Convolutional Interactive Artificial Neural Networks by/for Astrophysicists
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
GUI application for Anime4K shaders which allows to save upscaled video to disk
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
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.
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...
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
Best Practices, code samples, and documentation for Computer Vision.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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.
[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 project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
Convolutional Interactive Artificial Neural Networks by/for Astrophysicists
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.
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
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 open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
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...
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".