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Search results for neural image classification
image-classification
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neural
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68 search results found
Pytorch Book
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11,409
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Have Fun With Machine Learning
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4,912
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Neural Backed Decision Trees
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445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Computer Vision
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354
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Bag_of_tricks_for_image_classification_with_convolutional_neural_networks
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352
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Face_recognition
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337
🍎 My own face recognition with deep neural networks.
Neural Pipeline
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314
Neural networks training pipeline based on PyTorch
Cnn 3d Images Tensorflow
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176
3D image classification using CNN (Convolutional Neural Network)
Neural_network_papers
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158
记录一些读过的论文,给出个人对论文的评分情况并简述论文insight
Polynomial_nets
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131
Official Implementation of the CVPR'20 paper 'Π-nets: Deep Polynomial Neural Networks' and its T-PAMI-21 extension.
Petridishnn
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110
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Robot Grasp Detection
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97
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
Cs231n
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69
Convolutional Neural Networks for Visual Recognition in Stanford
Orthogonal Convolutional Neural Networks
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65
Code for paper "Orthogonal Convolutional Neural Networks".
Pytorch_notebooks
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64
A collection of PyTorch notebooks for learning and practicing deep learning
Cnn Image Classifier
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61
A Simple Deep Neural Network to classify images made with Keras
How To Train Your Neural Net
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55
Deep learning research implemented on notebooks using PyTorch.
Embedded_gcnn
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54
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Theanet
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49
Convolutional Neural Network for Image Classification with Theano.
Deep Learning
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48
Deep Learning Bootcamp
Deep Ranking
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47
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Efficientnas
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46
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Cnn_hsic_mrf
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45
This is a TensorFlow implementation of Convolutional Neural Network for Hyperspectral Image Classification
Hardhat Detector
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40
A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Keras_bag_of_tricks
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39
Bag of Tricks for Image Classification with Convolutional Neural Networks in Keras
Bag_of_tricks_cnn
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37
The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.
Crowdlayer
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37
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.
Understanding Deep Convolutional Neural Networks With A Practical Use Case In Tensorflow And Keras
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36
What makes convnets so powerful at image classification?
Cifar 10
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32
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Deep Learning
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31
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
Faceclassification_tensorflow
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29
Building a Neural Network that classifies faces using OpenCV and Tensorflow
Head Network Distillation
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27
[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"
Qnn Inference Examples
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25
Jupyter notebook examples on image classification with quantized neural networks
Tensorflow Image Classification
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23
Generic image classification using a simple tensorflow neural network
Caltech_birds
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23
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
Catanddogrecognizer
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22
Java Cat&Dog Image Recognizer with Deep Neural Networks
Straightforwardneuralnetwork
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15
A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.
Multipath Nn
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15
Experiments exploring dynamic routing in artificial neural networks
Learning_filter_basis
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14
Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019
Understanding_pytorch_nn
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14
🔮Getting Started with Pytorch: Text Classification Tutorial
Mybabe
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13
MyBB CAPTCHA Solver using Convolutional Neural Network in Keras
Workshop Keras Dnn
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13
Satellite Images Classification With Keras R
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12
Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification
Ntuoss Imagerecognitionworkshop
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11
Imageclassification
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11
Image Classification using SVM, Neural Networks etc.
Deep_learning_pytorch
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10
Python Deep learning models with deployment
Image Classification
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8
A short template to classify images using convolutional neural networks.
Boyorgirl
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8
A web application + neural net to distinguish baby boys and girls
Neural_network_on_ios
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8
Running neural network on IOS using Keras model and GPU To do Object detection and Image classification
Neural Ode Features
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8
Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples
Itc2017
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7
Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"
Yoga Pose Cnn
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7
Simple image classification convolutional neural net and prediction for 10 different yoga poses
Dnnviewer
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7
Deep Neural Network viewer
Ini_caltech101
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7
Image Classification with CNN
Tricks And New Resnet
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6
Bag of Tricks for Image Classification with Convolutional Neural Networks and a new ResNet
Evocnn
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6
codes for the paper of "Evolving Deep Convolutional Neural Networks for Image Classification" published by TEVC
Chat_screenshot_classifier
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6
This convolutional neural network can say if an input image is a chat screen-shot or a normal image
Pybrain Picture Sort
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6
Image classification with pybrain
Pixelrnn
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6
Implementation of a, simple, recurrent neural network used for a image classification.
Multi Column Deep Convolutional Neural Networks
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6
Multi-column Deep Convolutional Neural Networks for Image Classification (Tensorflow)
Cnn Image Classification
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5
Convolutional Neural Networks (CNNs) for Image Classification
Image_food_classification
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5
Deep Learning for Image-based Food Classification
Field_classification
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5
Using Convolutional Neural Networks (CNNs) for binary classification of plant images, especially of the genius Frullania.
Darknet Rs
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5
Rust bindings for darknet
Scalable_rnn_hsi
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5
Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"
Rest Api Neural Net
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5
REST-API based CNN deployed on heroku
Deep Learning Practice Problems
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5
This is a repository to provide information about some interesting Deep Learning Practice Problems
Deepclassificationtool
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5
Deep image classification tool based on Keras. Tool implements light versions of VGG, ResNet and InceptionV3 for small images
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