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GitHub topics: feature-map

idrblab/AnnoPRO

Feature map and function annotation of Proteins

Language: Python - Size: 4.01 MB - Last synced at: 10 days ago - Pushed at: 10 months ago - Stars: 32 - Forks: 7

fangvv/EdgeDI

Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"

Language: Python - Size: 18.6 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 2

yas-sim/openvino-ir-utility

Utility tool for Intel(r) OpenVINO(tm) IR models. The tool can display detailed model information, layer information and can check compatibility. The tool also can extract weight data and feature map from the IR model.

Language: Python - Size: 292 KB - Last synced at: about 11 hours ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 1

tomazas/itc2017

Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"

Language: Matlab - Size: 4.28 MB - Last synced at: 16 days ago - Pushed at: over 7 years ago - Stars: 12 - Forks: 6

jonathanrjpereira/Rice-Disease-Classification

Classify images of Diseased Rice Leaves using Convolutional Neural Networks

Language: Python - Size: 92 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 6

SalvatoreRa/CNNscan

A CT-scan of your CNN

Language: Python - Size: 7.64 MB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

hamedrq7/Classification-using-MLP-and-kernel-trick

This is a homework about supervised learning and kernel trick for machine learning course @ FUM.

Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Jullemand/Stanford-Machine-Learning

Course XCS229i in Machine Learning from Stanford University

Language: Python - Size: 3.75 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

rafariva/FeatureMap

get feature map of two image and adjust both in a crop

Language: Python - Size: 4.26 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

ghattab/ml-seg 📦

Language: Python - Size: 545 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

AIArabicProjects/visualize-filters-and-feature-maps-in-convolutional-neural-networks

Visualize Filters and Feature Maps in Convolutional Neural Networks

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

gudovskiy/fmap_compression

Code for DNN feature map compression paper

Language: C++ - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 3

CarolinaPerdomo/Project-VQA-for-DE-with-Qiskit

Solving differential equations using Hybrid Classical-Quantum algorithms with IBM library

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

standing-o/Extracting_insights_from_filters_and_feature_maps

Visualization of filters and feature maps in leaf disease image classifiers.

Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

mntalha/CNN-Visualize-Feature-Maps

Illustrate how to show output of images between hidden layers.

Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AkashSDas/cats-vs-dogs-the-final-showdown

Deep learning model for Cats vs Dogs competition in Kaggle. Also it contains CNN's filters and feature maps visualizations.

Language: Jupyter Notebook - Size: 9.33 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

AkashSDas/digit-recognizer-for-pros

Deep learning model for Digit Recognizer competition in Kaggle where the model has 99.5% accuracy and model has custom architecture. Also it contains CNN's filters and feature maps visualizations.

Language: Jupyter Notebook - Size: 583 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

sibirbil/SimpleKernels

Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification

Language: HTML - Size: 2.85 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

Teo777Andrei/CNN_FeatureMaps-Kernels

Feature maps and image kernels plotting example on cifar10 dataset

Language: Python - Size: 9.64 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

sthanhng/CNN-Visualization

This repo discovers how to develop simple visualizations for filters and feature maps in a Convolutional Neural Network

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

TrainingByPackt/Applied-Deep-Learning-with-Keras-eLearning

Solve complex real-life problems with the simplicity of Keras

Language: Jupyter Notebook - Size: 7.55 MB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 4

Jamboii/dump_featuremaps

Dump feature maps per image, and create montages of the 'best' images and activations for each feature map at a given layer

Language: Python - Size: 2.51 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Keywords
feature-map 22 cnn 10 deep-learning 7 convolutional-neural-networks 5 python 4 filters 4 classification 3 vgg16 3 convolutional-neural-network 3 keras 3 machine-learning 3 neural-network 2 pretrained-models 2 tensorflow 2 artificial-intelligence 2 kaggle 2 kaggle-competition 2 kaggle-dataset 2 interpretability 2 seaborn 2 pytorch 2 tensorflow2 2 image-classification 2 gpu 2 kernel 2 logistic-regression 2 compression 1 dnn 1 low-precision 1 differential-equations 1 qiskit 1 qiskit-practice 1 quantum 1 quantum-computing 1 variational-quantum-circuit 1 hidden-layers 1 inceptionv3 1 visualize 1 cat-vs-dog 1 activations 1 specificity 1 sequential-modelling 1 sensitivity 1 scikit-learn 1 rnn 1 recurrent-neural-networks 1 precision 1 null-accuracy 1 max-pooling 1 keras-wrapper 1 flattening 1 feature-detection 1 cross-validation 1 auc-roc-score 1 cnn-visualization 1 image-processing 1 image-kernel 1 svm-classifier 1 low-dimension 1 kaggle-digit-recognizer 1 caffe 1 gradcam 1 computer-vision 1 ai 1 motor-imagery 1 fft-energy-maps 1 openvino-toolkit 1 openvino 1 model-weights 1 intel 1 deep-learning-models 1 vgg 1 resnet 1 pruning 1 iot-device 1 industrial-iot 1 heterogeneous-systems 1 edge-computing 1 distributed-systems 1 protein-function-prediction 1 blastp 1 visualization 1 vector-quantization 1 kmeans-clustering 1 kmeans 1 image 1 deep-neural-networks 1 surf 1 sift 1 orb 1 poisson-regression 1 naive-bayes 1 k-means-clustering 1 gmm 1 gda 1 ann 1 supervised-learning 1 mlp-classifier 1 kernel-trick 1 interpretable-machine-learning 1