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329 search results found
Ml Algorithms Python
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41
This repository contains ML algorithms written in Python. 📚 🐍
Pytorch Timeseries
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40
PyTorch implementations of neural networks for timeseries classification
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Tinydnn
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40
Tiny yet Powerful Deep Neural Networks
Keras_bag_of_tricks
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39
Bag of Tricks for Image Classification with Convolutional Neural Networks in Keras
High Dimensional Deep Learning
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39
Science des données Saison 4 : Apprentissage en grande dimension, Données fonctionnelles, Détection d'anomalies, Introduction au Deep Learning
Kasm Pytorch
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39
Reproducing the paper "Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods"
Eddynet
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39
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
Hypelcnn
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38
A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data
Yannl
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37
Yet another neural network library
Macadam
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37
Macadam是一个以Tensorflow(Keras)和bert4keras为基础,专注于文本分类 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCN 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Latti
Ignn
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37
Implicit Graph Neural Networks
Mirapy
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37
MiraPy: A Python package for Deep Learning in Astronomy
Python Machine Learning
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37
Python Machine Learning Algorithms
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.
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?
Java Deep Learning Cookbook
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35
Java Deep Learning Cookbook, published by Packt
Cogent
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35
Simple neural network library for classification written in Rust.
Nlpclass
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35
Deep Neural Network Ensembles For Extreme Classification
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34
Deep Neural Network Ensembles for Extreme Classification
Discourse Ablstm
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34
Attention-based Bidirectional Long Short-Term Memory neural network for classification of Chinese implicit discourse relations
Ggnn.tensorflow
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33
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
Gcnn
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33
A graph convolutional neural network for classification of building patterns using spatial vector data
Landuse_classification
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33
Land Use Classification using Convolutional Neural Network in Keras
Textclassification
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32
All kinds of neural text classifiers implemented by Keras
Nlil
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32
Neural Logic Inductive Learning
Ml_playground
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31
Collection of machine learning projects
Qclass_dl
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29
Question classification on TREC dataset using Deep Neural structures, namely CNN & LSTM & both of them.
Nfetc
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28
Neural Fine-grained Entity Type Classification https://arxiv.org/abs/1803.03378
Gfn
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28
Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
Dl Learning Resources
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27
Audio Classification
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25
Audio Classification - Multilayer Neural Networks using TensorFlow
Carl Cnn
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25
Car Logos CNN - image classification via neural network
Eegmotorimagery
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24
EEG motor imagery classification using convolutional neural networks
Keras Multiclass Image Classification
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24
Multiclass image classification using Convolutional Neural Network
Deep Learning Tutorial With Chainer
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24
Deep learning tutorial with Chainer
Bayesian Nn Uncertainty
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23
Classification uncertainty using Bayesian neural networks
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.
Multilayer Snn For Audio Samples Classification Using Spinnaker
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23
This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", which is already accepted for publication.
Tensorflow Image Classification
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23
Generic image classification using a simple tensorflow neural network
Repwalk
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23
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
Tensorflow_basics
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23
Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.
Burmese Text Classifier
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23
A neural network based text classification system for Burmese
Iris Neural Network
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22
Iris Neural Network using TensorFlow
Deeplearning Study
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22
This is repository for DeepLearning Study in Kyung Hee University
Hier Class
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22
Hierarchical Neural Attention-based Classification
Minimalistic Multiple Layer Neural Network From Scratch In Python
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21
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Kivyandroidclassification
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21
Image Classification for Android using Artificial Neural Network using NumPy and Kivy.
Bi Rcnn
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21
implementation of the paper 《Bidirectional Recurrent Convolutional Neural Network for Relation Classification》
Portfolio
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21
Covid19 Detection Using Chest X Ray
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21
Covid-19 detection in chest x-ray images using Convolution Neural Network.
Deep Music Genre Classification
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20
🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis
Dl4astro
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20
Star-galaxy Classification Using Deep Convolutional Neural Networks
Echonet
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20
Convolutional neural networks for sound classification
Ethnicity Tensorflow
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20
Name Nationality Classification with Recurrent Neural Networks
Digitrecognition
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20
Implementation of a digit recognition using my Neural Network with the MNIST data set.
Deep Neural Network With Keras Python Satellite Image Classification
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20
Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification
Ag Cnn
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20
This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")
Classify
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19
Node-based CLI for Neural Network Image Classification via Coco model
Signal2image Modules In Deep Neural Networks For Eeg Classification
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19
Isbi2018 Diagnostic Classification Of Lung Nodules Using 3d Neural Networks
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19
Network Architecture for the ISBI_2018 paper : DIAGNOSTIC CLASSIFICATION OF LUNG NODULES USING 3D NEURAL NETWORKS
Relation Classification Via Convolutional Deep Neural Network
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19
implementation of Relation Classification via Convolutional Deep Neural Network
Deephypercnn
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19
Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks
Neural_bow_toolkit
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19
Demo Net
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18
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Cnn Al Tf
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18
Active Learning on Convolutional Neural Network
Paper In Natural Language Processing
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17
list of paper innatural laguage processing
Bjtunlp_practice2019
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16
This is the official leaderboard of the six practice for the new commers of BJTUNLPers.
Ironydetectionintwitter
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16
A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Wbc Classification
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16
Classification of WBC ( White Blood Cells ) with CNN . (Convolutional Neural Network)
Banana Ripeness Classification
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16
Banana ripeness classification using Neural Networks.
Wilson
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16
A simple neural network in NodeJS
Global_normalization
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16
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Cnn Text Classification Tf
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16
Transfer Learning
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16
Transfer Learning research
Finger Movement Classification Via Machine Learning Using Emg Armband For 3d Printed Robotic Hand
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16
This repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to imitate the classified movement
Machine_learning_from_scratch
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15
Machine Learning models from scratch with a better visualisation
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.
Machine Learning Detect Cancer
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15
Using machine learning to classify lesions in breast ultrasound images
Nnio.l
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15
A python package that you can use to create neural networks with one line of code.
Best Mnist Classification Ever Seen Without Any Difficult Tricks
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15
Classification of MNIST digits by convolutional neural networks and then extracting features. After that I tune the to classes labels using simple neural network The code is written using Keras deep learning library. Got Accuracy: %99.82 error rate 0.18
Image_classification_with_5_methods
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15
Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
Neuralmusic
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15
An attempt at genre classification with convolutional neural networks and spectrograms
Selective_deep_learning
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15
Code for the paper "Selective Classification for Deep Neural Networks"
Short Text Classification
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14
Short Text Classification with Deep Neural Networks: An Experimental Analysis
Hobonet
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14
Convolution Neural Network for classification of semantic relations in a sentence
Satellite Image Classification R
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14
Exercise with pixel based supervised classification of Sentinel-2 multispectral images in R. Comparing Random Forests, SVM and Neural Networks.
Machinelearning Deeplearning Papers
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14
📝 My Machine Learning & Deep Learning Papers Notes.
Multivariateclassificationlecture
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14
Lecture on Multivariate Classification for the CERN School of Computing
Understanding_pytorch_nn
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14
🔮Getting Started with Pytorch: Text Classification Tutorial
Ldp
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14
LDP for graph classification
Jgeneticneuralnet
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14
A Java library that trains neural networks with a genetic algorithm.
Text Classification Pytorch
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14
Text Classification in PyTorch
Cnn Text Classification Keras
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14
Convolutional Neural Network for Text Classification in Keras
Large Scale Multi Class Image Based Cell Classification With Deep Learning
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14
Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning
Gnn Asymptotics
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14
Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
Urban Sound Classification Keras
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13
Workshop Keras Dnn
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13
Neural_networks_for_computer_vision
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13
Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project
Corona X Ray Prediction
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13
It is a Flask Application to predict a person covid positive/negetive based on chest x ray of a person.This Machine Learning Web Application utilizes a Two-Layered Convolutional Neural Network to process the chest-x-ray Images and predict if they are corona positive/negetive accuracy of nearly 81%.
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