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Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning deep-learning neural-network tensorflow activity-recognition recurrent-neural-networks lstm rnn human-activity-recognition

Updated May 13, 2021
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jisungk / deepjazz

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Deep learning driven jazz generation using Keras & Theano!

music machine-learning theano deep-learning keras lstm neural-networks rnn jazz

Updated May 29, 2019
Python

zzw922cn / Automatic_Speech_Recognition

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

audio deep-learning tensorflow paper end-to-end evaluation cnn lstm speech-recognition rnn automatic-speech-recognition feature-vector data-preprocessing phonemes timit-dataset layer-normalization rnn-encoder-decoder chinese-speech-recognition

Updated Aug 25, 2021
Python

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm

Updated Mar 15, 2021
Python

tobegit3hub / tensorflow_template_application

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TensorFlow template application for deep learning

machine-learning csv deep-learning tensorflow inference cnn lstm tensorboard mlp libsvm tfrecords wide-and-deep serving

Updated May 20, 2021
Python

salesforce / awd-lstm-lm

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LSTM and QRNN Language Model Toolkit for PyTorch

pytorch lstm sgd language-model qrnn

Updated May 7, 2020
Python

jiesutd / NCRFpp

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NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

natural-language-processing crf cnn pytorch artificial-intelligence lstm named-entity-recognition neural-networks chunking ner char-rnn part-of-speech-tagger sequence-labeling nbest lstm-crf char-cnn

Updated Nov 10, 2020
Python

rguthrie3 / DeepLearningForNLPInPytorch

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An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

nlp tutorial deep-learning neural-network pytorch lstm

Updated Nov 12, 2019
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huseinzol05 / NLP-Models-Tensorflow

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Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

nlp machine-learning embedded deep-learning chatbot language-detection lstm summarization attention speech-to-text neural-machine-translation optical-character-recognition pos-tagging lstm-seq2seq-tf dnc-seq2seq luong-api

Updated Jul 20, 2020
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xiaohu2015 / DeepLearning_tutorials

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The deeplearning algorithms implemented by tensorflow

sda tensorflow cnn lstm deep-learning-algorithms rbm mlp deep-learning-tutorial dbn

Updated Feb 27, 2019
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guillaume-chevalier / Awesome-Deep-Learning-Resources

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Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

machine-learning awesome deep-learning tensorflow cnn lstm awesome-list

Updated Oct 5, 2021

UB-Mannheim / tesseract

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Tesseract Open Source OCR Engine (main repository)

ocr lstm tesseract-ocr ocr-d windows-build ocr-d-mp

Updated Aug 11, 2021
C++

lilianweng / stock-rnn

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Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

embeddings lstm stock-price-prediction rnn-tensorflow

Updated Jan 10, 2019
Python

hunkim / word-rnn-tensorflow

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Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

python tensorflow lstm rnn rnn-tensorflow

Updated Oct 9, 2019
Python

VivekPa / AIAlpha

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Use unsupervised and supervised learning to predict stocks

python machine-learning artificial-intelligence lstm yahoo-finance-api stock-price-prediction autoencoder artificial-neural-networks trading-strategies quantitative-finance algorithmic-trading wavelet-transform

Updated Jun 18, 2020
Python

Alro10 / deep-learning-time-series

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List of papers, code and experiments using deep learning for time series forecasting

deep-neural-networks deep-learning time-series tensorflow prediction python3 pytorch recurrent-neural-networks lstm series-analysis forecasting-models lstm-neural-networks demand-forecasting series-forecasting sales-forecasting time-series-classification time-series-prediction time-series-forecasting series-classification forecasting-competitions

Updated Oct 4, 2021
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curiousily / Getting-Things-Done-with-Pytorch

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Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

nlp machine-learning tutorial computer-vision deep-learning time-series sentiment-analysis pytorch transformer lstm yolo face-recognition face-detection object-detection transfer-learning bert anomaly-detection time-series-forecasting coronavirus time-series-anomaly-detection

Updated Jun 14, 2021
Jupyter Notebook

senlinuc / caffe_ocr

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主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

ocr lstm densenet ctc res-lstm

Updated Jun 13, 2020
C++

abdulfatir / twitter-sentiment-analysis

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Open

Tidy up preprocess.py with pandas

8

abdulfatir commented Dec 29, 2017

In preprocess_csv function in preprocess.py (link), pandas can be used to parse the csv more efficiently and with way less code. The machine I was using while developing the project did not have pandas installed.

chenyuntc / PyTorchText

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1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

nlp pytorch lstm fasttext textcnn textrnn textrcnn

Updated Jul 16, 2018
Python

lstm

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tesseract-ocr / tesseract

apachecn / AiLearning

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JaidedAI / EasyOCR

ddbourgin / numpy-ml

ml5js / ml5-library

Add a verbose error message when Neural Network's addData() is called without correct arguments

The data in the loading JSON example is incorrect

Remove YOLO examples (and possibly delete source code)

huseinzol05 / Stock-Prediction-Models

jinfagang / tensorflow_poems

bentrevett / pytorch-seq2seq

bentrevett / pytorch-sentiment-analysis

guillaume-chevalier / LSTM-Human-Activity-Recognition

jisungk / deepjazz

zzw922cn / Automatic_Speech_Recognition

mravanelli / pytorch-kaldi

tobegit3hub / tensorflow_template_application

salesforce / awd-lstm-lm

jiesutd / NCRFpp

rguthrie3 / DeepLearningForNLPInPytorch

huseinzol05 / NLP-Models-Tensorflow

xiaohu2015 / DeepLearning_tutorials

guillaume-chevalier / Awesome-Deep-Learning-Resources

UB-Mannheim / tesseract

lilianweng / stock-rnn

hunkim / word-rnn-tensorflow

VivekPa / AIAlpha

Alro10 / deep-learning-time-series

curiousily / Getting-Things-Done-with-Pytorch

senlinuc / caffe_ocr

abdulfatir / twitter-sentiment-analysis

Tidy up preprocess.py with pandas

chenyuntc / PyTorchText

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