850 Open source projects that are alternatives of or similar to medical-diagnosis-cnn-rnn-rcnn

A Benchmark of Text Classification in PyTorch

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Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

Machine Learning (EE 5184) in NTU

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Bert-classification and bert-dssm implementation with keras.

ConText v4: Neural networks for text categorization

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Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Deep learning driven jazz generation using Keras & Theano!

[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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Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

All kinds of neural text classifiers implemented by Keras

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Implementation of papers for text classification task on DBpedia

RNN-LSTM that learns passwords from a starting list

Recurrent Additive Networks for Tensorflow

A siamese LSTM to detect sentence/question pairs.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

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Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Online Hand Writing Recognition using BLSTM

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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Efficient, transparent deep learning in hundreds of lines of code.

RMDL: Random Multimodel Deep Learning for Classification

Optical character recognition Using Deep Learning

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

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Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Data augmentation for NLP, presented at EMNLP 2019

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Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Deep Learning

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

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LSTM based human activity recognition using smart phone sensor dataset

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ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Natural Language Processing with TensorFlow, published by Packt

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

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基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測