residual-networks | Topic | Ecosyste.ms: Repos

Topic: "residual-networks"

HasibAlMuzdadid/ResNet

Implementation of Residual Networks.

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ffengc/MARNet-Parkinson-severity-diagnosis-explainable-model Fork of JackAILab/MARNet

The code repository for "Parkinson’s severity diagnosis explainable model based on 3D multi-head attention residual network"

Language: Python - Size: 3.81 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

AtSourav/AE-w.-Bottleneck-Residual-Blocks

A CNN based autoencoder with Bottleneck Residual blocks on cifar10. May add perceptual loss and/or try out different loss functions later, will use L2 as the default.

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BubbleJoe-BrownU/GourmAIt

A PyTorch implementation of Google Research's Noisy Student Training. Applied on training a series of ResNets on Food101 image classification dataset

Language: Python - Size: 159 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

buddhiW/AdaptiveNet

A dynamically adaptable neural network-based replay spoofing attack detection system.

Language: Python - Size: 15.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

ayyucedemirbas/Sign_Language_Classification

We build and train a classifier model on ASL_Alphabet Dataset from scratch. And we fine-tune ResNet50 model which pretrained on imagenet.

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athanatos96/CNN-and-Residual-Connections-for-Cow-Teat-Image-Classification

Paper Name: Convolutional Neural Networks and Residual Connections for Cow Teat Image Classification. Testing the impact of Convolutional Neural layers and Residual Conections in the accuracy of dairy Cows Teat Imaga classification Dataset from and testing software: https://github.com/YoushanZhang/SCTL

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AlaaSedeeq/Residual-Blocks-Implementation

An implementation to the original architecture of Basic Block and Bottleneck Block with both Identity and Projection short-cut connections.

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burcgokden/Power-Law-Graph-Transformer

Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.

Language: Python - Size: 5.12 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Thehunk1206/GAN.art

A Style Based Generative model for generating art

Language: Python - Size: 62.7 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Rathore25/Denoising-By-ResNet

Use a ResNet to denoise the noisy images

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sammyamajumdar/ResNet50

Residual Neural Network model for Image Classification.

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ArkaSarkar19/SIGNS-Image-Classification-using-ResNets

Refer Readme.md

Language: Python - Size: 8.75 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

ierezell/PapierFewShot 📦

Reimplementation in pytorch of the paper https://arxiv.org/pdf/1905.08233.pdf

Language: Python - Size: 89.7 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

LoneWaheed/Coursera-Deep-Learning-Specialization-Convolutional-neural-networks-week2-Residual-Networks-v2.ipynb

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Adarsh-sophos/Deep-Learning

Deep Learning by Andrew Ng

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sameershinde14/Deep-Residual-Networks-using-Exponential-Linear-Unit

• Designed deep residual learning model with exponential linear unit for image classification with higher accuracy. • Decreased the error rate to 5.62% and 26.55% on CIFAR-10 and CIFAR-100 datasets respectively which outpaced the most competitive approaches previously published. • Published research paper for the same on 21th Sept 2016 at ACM conference.

Language: Lua - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

soapisnotfat/neural-style

a Pytorch implementation of neural style mixer

Language: Python - Size: 6.08 MB - Last synced at: 11 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

mb11797/Regional_OCR

An OCR to detect and identify text in Indian Regional Languages

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zengyu714/standard-panel-classification

Employ SSD and RetinaNet for Standard Panel Detecion in US Image

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kanavgoyal898/hideNet

By recursively splitting images into odd and even pixel subsets, hideNet creates a multi-resolution representation that can be effectively encoded and later reconstructed using learned generative models.

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kartikey2807/CNNs-Residual-Dropout-1RT720

CNN implementation for digit classification. Variations include residual connections and dropout layers. Optimizers: Adam, RMSProp and SGD.

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FandosA/Normal_Flow_Prediction_Pytorch

Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.

Language: Python - Size: 236 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

NennoMP/randresnet

Code for "Randomized Convolutional Residual Neural Networks" paper.

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smomtahe/Deep-Fusion-and-Residual-Attention-for-NIR-Imaging

This repository contains the implementation of an advanced deep learning model that integrates deep convolutional neural networks with fusion and residual attention mechanisms to enhance the accuracy of image reconstruction.

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rsarka34/RS-2-BP

RS-2-BP: A Unified Deep Learning Framework for Deriving EIT-Based Breathing Patterns from Respiratory Sounds (IEEE SPL-2024)

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AndyVale/residual_benchmarks_vnncomp

This repository contains a collection of residual benchmarks from VNNCOMP 2022-2024. It is designed to offer a more organized version of the existing benchmarks, making it easier to test new software. We recommend cloning the 'benchmarks_vnncomp' repository, which includes this repository as a submodule.

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shimazahabi/Rayan-AI-Course

RAYAN AI international competition training course : Homeworks and Projects

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Navya0203/RESNET-ON-CIFAR-10

In this project, we proposed a straightforward strategy to engineer Residual networks with fewer than 5M parameters for CIFAR10 dataset

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roopharshit/Image-classification-using-Deep-ResNets-on-Cifar-10

Using a modified ResNet to enhance image classification on the Cigar-10 dataset

Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

VictorFranco/rust-residual-neural-network

Residual neural network in Rust for modeling binary numbers

Language: Rust - Size: 26.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mahidul5130/ChurnNet_Deep_Learning_Enhanced_Customer_Churn-Prediction_in_Telecommunication_Industry

ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry

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LinggarM/Poultry-Meat-Freshness-Classification-with-Transfer-Learning-using-ResNet

The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.

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Yuvaishu/SURGICAL-COMPLICATION-PREDICTION

AI is developed to predict the possible surgical complications(Cataract surgery) before the surgery based on the patient's medical history

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Moddy2024/ResNet-34

Implemented Deep Residual Learning for Image Recognition Paper and achieved lower error rate by customizing different parts of the architecture.

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Moddy2024/ResNet-18

Implemented the Deep Residual Learning for Image Recognition Paper and achieved better accuracy by customizing different parts of the architecture.

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francomano/Cards_Classification_Kaggle

This is my Convolutional Neural Network built for a Kaggle card image dataset and tested on new external images

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gaetanserre/GAiA

GAiA is a UCI chess engine built with C++ 17, ONNX and Pytorch. It performs an in-depth analysis and uses a complex squeeze-and-excitation residual network to evaluate each chess board.

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sonapraneeth-a/object-classification

Classification of objects in images for CIFAR 10 dataset

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tanjeffreyz/deep-residual-learning

PyTorch implementations of the deep residual networks published in "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Language: Python - Size: 304 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Domics10/Real-SR Fork of Tencent/Real-SR

Real-World Super-Resolution via Kernel Estimation and Noise Injection. Results and adaptation of the https://github.com/Tencent/Real-SR github on the HC18 dataset.

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Linsho/mnist-baseline-chainer

Basic baseline training script of MNIST

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galib96/lung-nodule-malignancy

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alexkowsik/deep-learning-online

Project Website for the Deep Learning Online Seminar at University

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kunal2812/RockPaperScissors

Analysis of Residual Networks reimplemented using Tensorflow 2.0 from scratch using ideas from the original research paper with a documentation summarising the paper and the implementation

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95anantsingh/NYU-ResNet-On-Steroids

High Accuracy ResNet Model under 5 Million parameters.

Language: Python - Size: 797 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

kunalkashyap855/wide-resnet-cifar10

Training a Wide Residual Network on the CIFAR - 10 dataset with a limit of 5 million on the number of trainable parameters.

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sachdevkartik/Computer-Vision

Deep Learning implementations using PyTorch

Language: Python - Size: 319 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

david-thrower/residual_MLP_Tests

Tests I am performing on a Python package for building residual multi - layer perceptrons and tandem [any model] -> ResMLPs models, useful for effective transfer learning. A pypi package should be coming soon.

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