Trending repositories for topic convolutional-neural-networks
Contains Solutions to Deep Learning Specailization - Coursera
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
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
A MNIST-like fashion product database. Benchmark :point_down:
High-efficiency floating-point neural network inference operators for mobile, server, and Web
🤖 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
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...
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
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...
A doctor's prescription system with handwriting recognition.
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Attention temporal convolutional network for EEG-based motor imagery classification
Contains Solutions to Deep Learning Specailization - Coursera
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
A doctor's prescription system with handwriting recognition.
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Attention temporal convolutional network for EEG-based motor imagery classification
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.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Contains Solutions to Deep Learning Specailization - Coursera
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
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
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
A MNIST-like fashion product database. Benchmark :point_down:
Best Practices, code samples, and documentation for Computer Vision.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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...
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...
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...
Contains Solutions to Deep Learning Specailization - Coursera
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Detecting available rooftop area from satellite images to install photovoltaic panels - LESO-PB Lab @ EPFL
✂️ Deep learning-based splice site predictor that improves spliced alignments
GUI application for Anime4K shaders which allows to save upscaled video to disk
A doctor's prescription system with handwriting recognition.
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
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...
Combines JSBSim and Airsim with a python module to simulate a fixedwing
visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Algorithm for user tracking and following (turtle bot control)
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...
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.
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Code for intrusion detection system (IDS) development using CNN models and transfer learning
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Contains Solutions to Deep Learning Specailization - Coursera
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
A MNIST-like fashion product database. Benchmark :point_down:
[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...
VIP cheatsheets for Stanford's CS 230 Deep Learning
Best Practices, code samples, and documentation for Computer Vision.
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...
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
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...
Contains Solutions to Deep Learning Specailization - Coursera
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
✂️ Deep learning-based splice site predictor that improves spliced alignments
GUI application for Anime4K shaders which allows to save upscaled video to disk
Quantum-classical hybrid convolutional neural network for classical image classification
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
Detecting available rooftop area from satellite images to install photovoltaic panels - LESO-PB Lab @ EPFL
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
A 1D implementation of a deformable convolutional layer in PyTorch with a few tricks.
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.
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...
visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Combines JSBSim and Airsim with a python module to simulate a fixedwing
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
Efficient CUDA kernels for training convolutional neural networks with PyTorch.
Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predicto...
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
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.
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:
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
🧠💬 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
🔎 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
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.
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Contains Solutions to Deep Learning Specailization - Coursera
(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.
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。
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.12
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
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
[ISPRS J P&RS 2023] Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange
