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190 search results found
Machine Learning Collection
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6,173
A resource for learning about Machine learning & Deep Learning
Awesome Rnn
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5,856
Recurrent Neural Network - A curated list of resources dedicated to RNN
Lstm
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1,056
Minimal, clean example of lstm neural network training in python, for learning purposes.
Recurrentjs
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864
Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.
Tensorflow Tutorial
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751
TensorFlow and Deep Learning Tutorials
Clstm
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737
A small C++ implementation of LSTM networks, focused on OCR.
Text Classification
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622
Implementation of papers for text classification task on DBpedia
Eeg Dl
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563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Dancenet
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453
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Pytorch Ntm
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398
Neural Turing Machines (NTM) - PyTorch Implementation
Deep Learning Har
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371
Convolutional and LSTM networks to classify human activity
Cryptocurrency Price Prediction
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337
Cryptocurrency Price Prediction Using LSTM neural network
Machine Learning Is All You Need
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337
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Deeplearning.ai Assignments
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286
Carrot
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274
🥕 Evolutionary Neural Networks in JavaScript
Rnnsharp
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272
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Lightnet
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236
Efficient, transparent deep learning in hundreds of lines of code.
Deeptrade_keras
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215
Deeptrade
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211
A LSTM model using Risk Estimation loss function for stock trades in market
Lstm Siamese Text Similarity
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201
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Seq2seqsharp
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188
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
Grid Lstm
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182
Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf
Keras_lstm_diagram
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180
Understanding Keras Recurrent Nets' structure and data flow (mainly LSTM) in a single diagram.
Lstm_networks
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176
This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
Charades Algorithms
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171
Activity Recognition Algorithms for the Charades Dataset
Deep_portfolio
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164
Rnn_lstm_from_scratch
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142
How to build RNNs and LSTMs from scratch with NumPy.
Graph_convolutional_lstm
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140
Traffic Graph Convolutional Recurrent Neural Network
Deep Learning Resources
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138
A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
Lstm G
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137
An implementation of a generalized version of the Long Short-Term Memory neural network architecture and algorithm, one of the most powerful supervised machine learning methodologies
Lstm_attention
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131
attention-based LSTM/Dense implemented by Keras
Deep Lyrics
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123
Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
Context
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116
ConText v4: Neural networks for text categorization
Bach_ai
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111
LSTM Neural Network that tries to write piano melodies similar to Bach's
Dnc
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106
Implementation of the Differentiable Neural Computer in Tensorflow
Repo 2016
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105
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Recurrentnn.jl
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96
Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia
Lasagne4bio
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88
Neural Disaggregator
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82
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
Gait Recognition Using Smartphones
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82
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
Hcn
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81
Hybrid Code Networks https://arxiv.org/abs/1702.03274
Last_caffe_with_stn
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76
Spatial Transformer Networks
Pred Rnn
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76
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Gesture Recognition
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74
Gesture recognition neural network to classify various hand gestures
An Attention Based Spatiotemporal Lstm Network For Next Poi Recommendation
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73
A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation
Tensorflow Examples
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70
Sample tensorflow code to try on Floyd
Pytorch_bits
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69
Iss Rnns
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62
Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
Recurrent Neural Net
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60
A recurrent (LSTM) neural network in C
Tensorflow Notebooks Examples
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59
Tensorflow Notebook Examples and Tutorials
Deep Eos
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57
General-Purpose Neural Networks for Sentence Boundary Detection
Sieknet
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56
A recurrent/memory-based neural network library implemented from scratch in C.
Time Series Forecasting Rnn Tensorflow
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56
Time series forecasting
Pointer Networks Experiments
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55
Sorting numbers with pointer networks
Jlearn
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55
Machine Learning Library, written in J
Pycaffe Recurrent
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54
IPython notebook for training multilayer LSTM and RNN networks with pycaffe
Aiopen
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52
AIOpen是一个按人工智能三要素(数据、算法、算力)进行AI开源项目分类的汇集项目,项目致力于跟踪
Lstm Poetry
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51
Generate random poetry using a LSTM neural network
Remaining Useful Life Prediction Rnn
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49
Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
Deep Learning Tensorflow
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47
Gathers Tensorflow deep learning models.
Blurbgenrecollection Hmc
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47
Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.
Recurrentjava
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46
Deep Recurrent Neural Nets in Java
Pytorchtree
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45
Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis
Sign Language
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45
Sign Language Recognition for Deaf People
Skeleton Based Action Recognition Review
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43
This review contains some action recognition methods.
Recurrent Neural Networks Intro
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42
Implementation of RNN in Python
Tiny Rnn
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40
Lightweight C++11 library for building deep recurrent neural networks
Fieldrnn
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39
Temporal Vegetation Classification with Recurrent Neural Networks
Sentiment Analysis Of Netflix Reviews
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39
Sentiment Analysis LSTM recurrent neural network's.
Cython_lstm
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38
🐍 LSTM Python library using Cython
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
Lstm_han
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36
LSTM and Hierarchical Attention Network on DSVM
Deeplearning Timeseries
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36
Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
Recurrent Neural Network For Bitcoin Price Prediction
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36
Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction
Nn Morse
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34
Decode morse using a neural network
Neural Networks
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34
All about Neural Networks!
Deep Neural Networks For Piano Music Transcription
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31
Deep Neural Networks for Piano Music Transcription - Project for the course DT2119 - Speech and Speaker recognition KTH
Npi
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30
Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow
Numpy Rnn
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29
numpy implementation of Recurrent Neural Network
Gesturerecognition Pytorch
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28
Action recognition network -- CNN + LSTM.
Learning_torch
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28
Learning to program in Lua using "Torch" and other useful libraries
Widis Lstm Tools
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28
Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch
Keras Rnn Timeseries
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28
Keras-RNN-timeseries
Sequence Rnn Py
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27
Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Deeptp
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27
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
Sudl
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27
light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
Laughr
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27
Recurrent neural network audio manipulation tool to mute "laugh track" audio segments found commonly in sitcoms.
Recurrent Net Lstm
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26
Long Short-Term Memory Recurrent Neural Networks
Languagemodel Using Attention
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25
Pytorch implementation of a basic language model using Attention in LSTM network
Relation2vec
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25
Neural Networks
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24
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Stock_prediction_model_using_attention_multilayer_rnn_lstm
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24
RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
Vehicle_collision_prediction_using_cnn Lstms
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24
Predict Vehicle collision moments before it happens!. CNN and LSTM hybrid architecture is used to understand a series of images.
Cnn Lstm Network
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23
Tensorflow implementation of embed CNN-LSTM network for sentiment analysis task.
Text_classification
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23
文本分类:传统机器学习模型和深度学习模型
Ssun
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22
Spectral-Spatial Unified Networks for Hyperspectral Image Classification
Tensorflow_speech_recognition_challenge
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22
Implemented 3 neural network architectures: 1) Combination of RNN LSTM nodes and CNN, 2) CNN with residual blocks similar to ResNet, 3) Deep RNN LSTM network; and compared their performance to detect 12 speech commands.
Trafficflowforecasting
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22
Some TrafficFlowForecasting Solutions
Caffe Char Rnn
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21
Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe
Rwa
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20
RWA recurrent neural networks
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