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Search results for neural autoencoder
autoencoder
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neural
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58 search results found
Pytorch Tutorial
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7,372
Build your neural network easy and fast, 莫烦Python中文教学
Tensorflow Book
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4,443
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Repo 2017
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1,146
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Neurec
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861
Next RecSys Library
Tutorial
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800
Deeplearning Algorithms Tutorial
Kekoxtutorial
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289
전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Theano Lights
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269
Deep learning research framework based on Theano
Place Recognition Using Autoencoders And Nn
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250
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
Hierarchical Neural Autoencoder
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204
Practical Machine Learning With Python
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182
Machine Learning Tutorials in Python
Awesome Chainer
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125
Convolutional Neural Network
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112
Deep Drug Coder
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75
A tensorflow.keras generative neural network for de novo drug design, published in Nature Machine Intelligence while working at AstraZeneca.
Deepai
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74
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Tensorflow Book R
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55
This is the unofficial code repository for Machine Learning with TensorFlow(R).
Basic_nns_in_frameworks
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50
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
Irregulartimeseriesautoencoderpaper
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49
Mirapy
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37
MiraPy: A Python package for Deep Learning in Astronomy
Catseye
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33
Neural network library written in C and Javascript
Malicious Urls Detection With Autoencoder Neural Networks
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29
Detecting malicious URLs using an autoencoder neural network
Neural Text Style Transfer
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29
Style Transfer for non-parallel text
Hello_nn
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28
Some of my simple neural networks
Deep Learning A Z Hands On Artificial Neural Network
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27
Codes and Templates from the SuperDataScience Course
Tensorflow Autoencoders
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27
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Nn For Missing Marker Reconstruction
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25
This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"
Deepad
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25
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Deepdoa
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25
Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.
Ncrf Ae
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24
For the paper: "Semi-Supervised Structured Prediction with Neural CRF Autoencoder"
Colornet Template
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24
Colorizing B&W Photos with Neural Networks
Python
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24
Haplonet
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22
Haplotype and population structure inference using neural networks.
Deep Learning.jl
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18
Introduction to deep learning using Flux.jl
Deep_learning_fmri_eeg
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18
Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing
Variationalautoencoders
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17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Mlfas
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14
Machine Learning for Audio Signals in Python
Semauto
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13
A Java framework to build semantics-aware autoencoder neural network from a knowledge-graph.
Video Inpainting
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13
Video Inpainting using 3D Convolutional Neural Network autoencoder
Neuro_
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13
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).
Sparse_autoencoder
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13
Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
Backpropagation C
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12
Available when training a Neural Network, or an Autoencoder.
Simpleai
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12
A simple yet powerful C++17 implementation of deep neural networks from scratch.
Video Compression Net
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12
A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frame
Autoencoder
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11
An autoencoder using a convolutional neural network with Tensorflow
Nn_framework
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10
A simple neural network framework
Neuralnetworkslite
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10
Learn Neural Networks using Java
Deepexperiments
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9
TensorFlow/Keras experiments on computer vision and natural language processing
Semauto 2.0
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9
Semantics-Aware Autoencoder Neural Network
Cottonwood_martian_images
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8
Autoencoder-based image compression using pictures of the surface of Mars.
Deep_learning_onboarding
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8
List of resources for deep learning
Deep Neural Network For Clustering
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8
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
Indoor Positioning
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8
Mml Feature Learning
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8
Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks
Deepathology
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7
Tissue and Cancer Type Identification using Deep Neural Networks
Ch485 Artificial Intelligence And Chemistry
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7
CH485 - Artificial Intelligence and Chemistry
Deep Learning Nd
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7
Projects and exercises for the Deep Learning Nanodegree
Pythor
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7
Template for projects in PyTorch powered with PyTorch Lightning, Telegrad and MLflow. Get updates on mobile and streamline PyTorch code for research.
Neural Nets Compression
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7
Neural Networks Compression (Multi-Layer Perceptron, Softmax, Autoencoder) by SVD, Sparsification, KMeans quantization and Fourier transformation
Ann2
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7
Artificial Neural Networks package for R
Plutonotebooks
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6
Random Pluto notebooks in Julia
Autoencoder Using Pytorch
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6
I implemented an Autoencoder for understanding the relationship of the different movie styles and what can we recommend to a person who liked a set of movies
Autoencoder Qlearner
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6
Investigation into the use of Autoencoder Neural Network to optimize the state space and Q-function performance of a Reinforcement Learning Problem
Deeplearning Lookup
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6
ML/DL Lookup Table / 機械学習・深層学習の単語集
Neural Network Autoencoder
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6
Code for the autoencoder neural network featured in Super Make Something Basics Episode 3
Tensorflow2.0_notebooks
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6
Implementation of a series of Neural Network architectures in TensorFow 2.0
Extreme Classification
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6
Project Repository for CS6370 : Information Retrieval offered in Fall 2018
Opinion Fraud Detection Via Neural Autoencoder Decision Forest
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5
This is created for paper "Opinion Fraud Detection via Neural Autoencoder Decision Forest". The dataset and code are included.
Deep_learning
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5
Implementing neural networks from scratch
Dngr
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5
Python implementation of DNGR model (Deep Neural Networks for Graph Representations)
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1-58 of 58 search results
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