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deep-learning-HARby healthDataScience
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License: No License (No License)Convolutional and LSTM networks to classify human activity
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OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
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Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
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Repository for the paper "Optimal Subarchitecture Extraction for BERT"
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tensorflow-lstm-regressionby mouradmourafiq
Jupyter Notebook 432 Version:Current License: Permissive (MIT)
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
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Deep Convolutional Neural Networks for Musical Source Separation
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Implementation of C-RNN-GAN.
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Char-RNN implemented using TensorFlow.
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bert-multitask-learningby JayYip
Jupyter Notebook 426 Version:Current License: Permissive (Apache-2.0)
BERT for Multitask Learning
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Keras Layer implementation of Attention for Sequential models
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Multivariate LSTM Fully Convolutional Networks for Time Series Classification
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[unmaintained]
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Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
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This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
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Text Classification Library in Keras
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Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
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Keras implementation of deepmind's wavenet paper
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Neural Network TensorFlow C API
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Experimental keras implementation of novel neural network structures
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sktime companion package for deep learning based on TensorFlow
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Reinforcement Learning for Portfolio Management
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Stock price prediction with LSTMs in TensorFlow
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Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm
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A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
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24MHz sampling rate Logic Analyzer based on fx2lafw
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pytorch implementation of fast-neural-style
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Deep neural models for core NLP tasks (Pytorch version)
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DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
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An open-source tool for sequence learning in NLP built on TensorFlow.
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Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
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Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
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Echo Nest Remix: The Internet Synthesizer
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zhihu-text-classificationby yongyehuang
Jupyter Notebook 397 Version:Current License: No License (No License)
License: No License (No License)[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
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Jupyter Notebook 396 Version:Current License: Permissive (MIT)
百度云魅族深度学习应用大赛
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Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
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Sequence-to-Sequence Framework in PyTorch
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RMDL: Random Multimodel Deep Learning for Classification
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Human-Activity-Recognition-using-CNNby aqibsaeed
Jupyter Notebook 393 Version:Current License: Permissive (Apache-2.0)
Convolutional Neural Network for Human Activity Recognition in Tensorflow
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:chart_with_upwards_trend: PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series :chart_with_upwards_trend:
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Implementing Recurrent Neural Network from Scratch
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PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
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Sequence to sequence learning using TensorFlow.
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A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
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pytorch-custom-cuda-tutorialby chrischoy
Python 386 Version:Current License: No License (No License)
License: No License (No License)Tutorial for building a custom CUDA function for Pytorch
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Activate POWER MODE anywhere
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Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
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MedicalNamedEntityRecognitionby liuhuanyong
Python 383 Version:Current License: No License (No License)
License: No License (No License)Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.
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deep-learning-HARby healthDataScience
Convolutional and LSTM networks to classify human activity
Jupyter Notebook 443Updated: 2 y ago License: No License (No License)
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Stock-Price-Prediction-LSTMby NourozR
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Python 439Updated: 2 y ago License: No License (No License)
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DTLNby breizhn
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
Python 437Updated: 2 y ago License: Permissive (MIT)
437Updated: 2 y ago License: Permissive (MIT)Support
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bortby alexa
Repository for the paper "Optimal Subarchitecture Extraction for BERT"
Python 432Updated: 3 y ago License: Permissive (Apache-2.0)
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tensorflow-lstm-regressionby mouradmourafiq
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
Jupyter Notebook 432Updated: 3 y ago License: Permissive (MIT)
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DeepConvSepby MTG
Deep Convolutional Neural Networks for Musical Source Separation
Python 429Updated: 4 y ago License: Strong Copyleft (AGPL-3.0)
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c-rnn-ganby olofmogren
Implementation of C-RNN-GAN.
Python 429Updated: 2 y ago License: No License (No License)
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tensorflow-char-rnnby crazydonkey200
Char-RNN implemented using TensorFlow.
Python 429Updated: 3 y ago License: Permissive (MIT)
429Updated: 3 y ago License: Permissive (MIT)Support
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bert-multitask-learningby JayYip
BERT for Multitask Learning
Jupyter Notebook 426Updated: 3 y ago License: Permissive (Apache-2.0)
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attention_kerasby thushv89
Keras Layer implementation of Attention for Sequential models
Python 424Updated: 2 y ago License: Permissive (MIT)
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MLSTM-FCNby titu1994
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Python 424Updated: 1 y ago License: No License (No License)
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tf_seq2seq_chatbotby nicolas-ivanov
[unmaintained]
Python 423Updated: 3 y ago License: No License (No License)
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SpectralClusterby wq2012
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
Python 422Updated: 1 y ago License: Permissive (Apache-2.0)
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Stack-RNNby facebookarchive
This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
C++ 420Updated: 4 y ago License: Proprietary (Proprietary)
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keras-textby raghakot
Text Classification Library in Keras
Python 419Updated: 4 y ago License: Permissive (MIT)
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im2latexby guillaumegenthial
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Python 419Updated: 2 y ago License: Permissive (Apache-2.0)
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keras-wavenetby usernaamee
Keras implementation of deepmind's wavenet paper
Python 417Updated: 3 y ago License: Strong Copyleft (GPL-3.0)
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hello_tf_c_apiby Neargye
Neural Network TensorFlow C API
C++ 417Updated: 3 y ago License: Permissive (MIT)
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nn_playgroundby DingKe
Experimental keras implementation of novel neural network structures
Python 415Updated: 3 y ago License: Permissive (MIT)
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sktime-dlby sktime
sktime companion package for deep learning based on TensorFlow
Python 413Updated: 3 y ago License: Permissive (BSD-3-Clause)
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qtraderby filangelos
Reinforcement Learning for Portfolio Management
Jupyter Notebook 413Updated: 2 y ago License: Permissive (Apache-2.0)
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stocks_rnnby tencia
Stock price prediction with LSTMs in TensorFlow
Python 412Updated: 3 y ago License: Permissive (Apache-2.0)
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RecurrentHighwayNetworksby jzilly
Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm
Python 410Updated: 3 y ago License: Permissive (MIT)
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deep_qaby allenai
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
Python 409Updated: 4 y ago License: Permissive (Apache-2.0)
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nanoDLAby wuxx
24MHz sampling rate Logic Analyzer based on fx2lafw
C 408Updated: 2 y ago License: No License (No License)
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fast-neural-styleby abhiskk
pytorch implementation of fast-neural-style
Python 406Updated: 2 y ago License: Permissive (MIT)
406Updated: 2 y ago License: Permissive (MIT)Support
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NeuroNLP2by XuezheMax
Deep neural models for core NLP tasks (Pytorch version)
Python 406Updated: 3 y ago License: Strong Copyleft (GPL-3.0)
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DNABERTby jerryji1993
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Python 406Updated: 2 y ago License: No License (No License)
406Updated: 2 y ago License: No License (No License)Support
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neuralmonkeyby ufal
An open-source tool for sequence learning in NLP built on TensorFlow.
Python 402Updated: 4 y ago License: Permissive (BSD-3-Clause)
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dncby krocki
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
Python 402Updated: 1 y ago License: No License (No License)
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TrafficFlowPredictionby xiaochus
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Python 397Updated: 2 y ago License: Permissive (MIT)
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remixby echonest
Echo Nest Remix: The Internet Synthesizer
HTML 397Updated: 4 y ago License: No License (No License)
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zhihu-text-classificationby yongyehuang
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
Jupyter Notebook 397Updated: 3 y ago License: No License (No License)
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baiduyun_deeplearning_competitionby ypwhs
百度云魅族深度学习应用大赛
Jupyter Notebook 396Updated: 3 y ago License: Permissive (MIT)
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emotion-recognition-using-speechby x4nth055
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Python 395Updated: 2 y ago License: Permissive (MIT)
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TokenLabelingby zihangJiang
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
Jupyter Notebook 395Updated: 2 y ago License: Permissive (Apache-2.0)
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nmtpytorchby lium-lst
Sequence-to-Sequence Framework in PyTorch
Jupyter Notebook 395Updated: 3 y ago License: Proprietary (Proprietary)
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RMDLby kk7nc
RMDL: Random Multimodel Deep Learning for Classification
Python 394Updated: 3 y ago License: Strong Copyleft (GPL-3.0)
394Updated: 3 y ago License: Strong Copyleft (GPL-3.0)Support
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demand_forecastby jingw2
Python 394Updated: 2 y ago License: No License (No License)
394Updated: 2 y ago License: No License (No License)Support
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Human-Activity-Recognition-using-CNNby aqibsaeed
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Jupyter Notebook 393Updated: 3 y ago License: Permissive (Apache-2.0)
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TensorFlow-Summarizationby thunlp
Python 392Updated: 4 y ago License: Permissive (MIT)
392Updated: 4 y ago License: Permissive (MIT)Support
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time-series-autoencoderby JulesBelveze
:chart_with_upwards_trend: PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series :chart_with_upwards_trend:
Python 391Updated: 2 y ago License: Permissive (Apache-2.0)
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rnn-from-scratchby pangolulu
Implementing Recurrent Neural Network from Scratch
Python 389Updated: 3 y ago License: No License (No License)
389Updated: 3 y ago License: No License (No License)Support
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NER-BERT-pytorchby lemonhu
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
Python 389Updated: 2 y ago License: Permissive (MIT)
389Updated: 2 y ago License: Permissive (MIT)Support
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tf-seq2seqby jayparks
Sequence to sequence learning using TensorFlow.
Python 388Updated: 3 y ago License: No License (No License)
388Updated: 3 y ago License: No License (No License)Support
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tensorflow-convlstm-cellby carlthome
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
Python 386Updated: 3 y ago License: Permissive (MIT)
386Updated: 3 y ago License: Permissive (MIT)Support
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pytorch-custom-cuda-tutorialby chrischoy
Tutorial for building a custom CUDA function for Pytorch
Python 386Updated: 3 y ago License: No License (No License)
386Updated: 3 y ago License: No License (No License)Support
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activate-power-modeby disjukr
Activate POWER MODE anywhere
JavaScript 386Updated: 3 y ago License: No License (No License)
386Updated: 3 y ago License: No License (No License)Support
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trade-dstby jasonwu0731
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
Python 385Updated: 1 y ago License: No License (No License)
385Updated: 1 y ago License: No License (No License)Support
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MedicalNamedEntityRecognitionby liuhuanyong
Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.
Python 383Updated: 1 y ago License: No License (No License)
383Updated: 1 y ago License: No License (No License)Support
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