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Search results for neural network autoencoder
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neural-network
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53 search results found
Pyod
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7,751
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Pytorch Tutorial
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7,372
Build your neural network easy and fast, ่ซ็ฆPythonไธญๆๆๅญฆ
Tensorflow Tutorial
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3,873
Tensorflow tutorial from basic to hard
Alae
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2,850
[CVPR2020] Adversarial Latent Autoencoders
Tensorflow Tutorials
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2,123
ํ ์ํ๋ก์ฐ๋ฅผ ๊ธฐ์ด๋ถํฐ ์์ฉ๊น์ง ๋จ๊ณ๋ณ๋ก ์ฐ์ตํ ์ ์๋ ์์ค ์ฝ๋๋ฅผ ์ ๊ณตํฉ๋๋ค
Niftynet
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1,170
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Tensorflow 101
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987
TensorFlow 101: Introduction to Deep Learning
Neurec
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861
Next RecSys Library
Tutorial
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800
Deeplearning Algorithms Tutorial
Tensorflow Tutorial
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751
TensorFlow and Deep Learning Tutorials
Easy Deep Learning With Keras
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336
Keras tutorial for beginners (using TF backend)
Handson Ml
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277
๋์ "ํธ์ฆ์จ ๋จธ์ ๋ฌ๋"์ ์์ ์ ์ฐ์ต๋ฌธ์ ๋ฅผ ๋ด์ ์ฃผํผํฐ ๋ ธํธ๋ถ์ ๋๋ค.
Artificio
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269
Deep Learning Computer Vision Algorithms for Real-World Use
Place Recognition Using Autoencoders And Nn
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250
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
Deep Learning For Hackers
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196
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Deep_learning_algorithms_from_scratch
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169
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
Kitnet Py
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124
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
Gon
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123
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Rnn_recsys
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122
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Autoencoders
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105
Implementation of simple autoencoders networks with Keras
Srl Zoo
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98
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Anomagram
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96
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
Smrt
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94
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
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.
Deep Learning For Clustering In Bioinformatics
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62
Deep Learning-based Clustering Approaches for Bioinformatics
Speech_driven_gesture_generation_with_autoencoder
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50
This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
M Phate
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44
Multislice PHATE for tensor embeddings
Yann
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42
This toolbox is support material for the book on CNN (http://www.convolution.network).
Datadrivendynsyst
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40
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Pytorch_integrated_cell
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36
Integrated Cell project implemented in pytorch
Tensorflow_whatwhereautoencoder
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34
Stacked What-Where Auto-encoders implementation wiht Tensorflow
Catseye
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33
Neural network library written in C and Javascript
Numpy Nn Model
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32
ะกustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Vae Style Transfer
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30
An experiment in VAE-based artistic style transfer by embedding fiddling.
Malicious Urls Detection With Autoencoder Neural Networks
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29
Detecting malicious URLs using an autoencoder neural network
Hello_nn
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28
Some of my simple neural networks
Zeta Learn
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27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Deep Learning A Z Hands On Artificial Neural Network
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27
Codes and Templates from the SuperDataScience Course
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"
Deep Learning Visuals
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24
A collection of 100 Deep Learning images and visualizations
Colornet Template
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24
Colorizing B&W Photos with Neural Networks
Encodermap
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24
python library for dimensionality reduction
Tensorflow_deep_learning_models
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23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Haplonet
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22
Haplotype and population structure inference using neural networks.
Neural File Sorter
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19
A neural network based file sorter. Trains an autoencoder to sort images or audio based on the similarity of their encodings, or uses the OpenAI CLIP model.
Deep Learning.jl
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18
Introduction to deep learning using Flux.jl
Classifying Vae Lstm
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18
music generation with a classifying variational autoencoder (VAE) and LSTM
Haskell Vae
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17
Learning about Haskell with Variational Autoencoders
Simplegan
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16
Tensorflow-based framework to ease training of generative models
Unsupervised_deep_learning
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15
Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
Aae Recommender
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15
Adversarial Autoencoders for Recommendation Tasks
Wysiwyh
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14
A neural net to transform a video into audio in real time.
Keras Aquarium
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14
a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
Dltf
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14
Hands-on in-person workshop for Deep Learning with TensorFlow
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
Cifar Autoencoder
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13
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
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).
Ae Review Resources
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12
Additional resources for an overview on autoencoders
Backpropagation C
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12
Available when training a Neural Network, or an Autoencoder.
Ml Image Denoising
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12
Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder
Simpleai
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12
A simple yet powerful C++17 implementation of deep neural networks from scratch.
Generic Expression Patterns
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11
Distinguishing between generic and experiment-specific gene expression signals.
Libro Deep Learning
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11
Material adicional del libro "Deep Learning: Principios y fundamentos", publicado por la Editorial UOC
Autoencoder
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11
An autoencoder using a convolutional neural network with Tensorflow
Neuralnetworkslite
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10
Learn Neural Networks using Java
Accelerated_sampling_with_autoencoder
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10
Accelerated sampling framework with autoencoder-based method
Sample Machine Learning Projects
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10
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
Perceptual Autoencoders
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10
Experiments with perceptual loss and autoencoders.
Dae_speakerid
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10
Denoising autoencoders for speaker identification on MCE 2018 challenge
Autoencoders And Decoders Using Keras And Tensorflow
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10
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
Label Free Xai
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10
This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.
Deep Learning Scratch Arena
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10
Implementing most important basic building blocks of Deep Learning from scratch.
Lanternfish
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9
Deep convolutional neural networks for biological motion analysis
Aiqn Vae
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9
VAE + Quantile Networks for MNIST
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
Introduction_to_deep_learning_coursera
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9
Intro to Deep Learning by National Research University Higher School of Economics
Nnsae
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8
Non Negative Sparse AutoEncoder (NNSAE). An efficient online learning scheme for non-negative and sparse coding in autoencoder neural networks.
Deep_learning_onboarding
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8
List of resources for deep learning
Machine_learning
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8
Best collection of machine learning & deep learning algorithms implemented from scratch using python.
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
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
Ann2
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7
Artificial Neural Networks package for R
Neural Nets Compression
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7
Neural Networks Compression (Multi-Layer Perceptron, Softmax, Autoencoder) by SVD, Sparsification, KMeans quantization and Fourier transformation
Autoembedder
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7
PyTorch autoencoder with additional embeddings layer for categorical data ๐
Deepathology
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7
Tissue and Cancer Type Identification using Deep Neural Networks
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.
Ganmf
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7
This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).
Variational Autoencoder For Novelty Detection
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6
A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
Hsi Toolbox
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6
Hyperspectral CNN compression and band selection
Tensorflow2.0_notebooks
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6
Implementation of a series of Neural Network architectures in TensorFow 2.0
Carbon_molecule_autoencoder Master
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6
A Carbon molecule autoencoder neural network
Tsmc_dl
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6
TSMC course materials for unsupervised learning
Face_autoencoder
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6
A 10x10 pixels portrait faces autoencoder with pybrain
Deep_learning
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5
Implementing neural networks from scratch
Attentiondeeplabv3p
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5
Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation
Dngr
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5
Python implementation of DNGR model (Deep Neural Networks for Graph Representations)
Chapter4
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5
Chapter 4: Basics of Deep Learning
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