lstm

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

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Updated May 13, 2021
Jupyter Notebook

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 Jun 21, 2022
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 14, 2022
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 Jan 7, 2022
Python

salesforce / awd-lstm-lm

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LSTM and QRNN Language Model Toolkit for PyTorch

pytorch lstm sgd language-model qrnn

Updated Feb 12, 2022
Python

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 Jul 9, 2022
C++

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 Jun 30, 2022
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
Jupyter Notebook

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 Jun 28, 2022
Jupyter Notebook

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
Jupyter Notebook

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
Jupyter Notebook

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 Mar 8, 2022

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

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

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 Feb 19, 2022
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

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++

nlpodyssey / spago

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Self-contained Machine Learning and Natural Language Processing library in Go

nlp machine-learning natural-language-processing deep-learning neural-network automatic-differentiation artificial-intelligence recurrent-networks lstm computation-graph question-answering bart automatic-translation deeplearning language-model bert transformer-architecture bert-as-service named-entities-recognition

Updated Jul 7, 2022
Go

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.

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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

bentrevett / pytorch-seq2seq

jinfagang / tensorflow_poems

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

UB-Mannheim / tesseract

jiesutd / NCRFpp

rguthrie3 / DeepLearningForNLPInPytorch

Alro10 / deep-learning-time-series

huseinzol05 / NLP-Models-Tensorflow

xiaohu2015 / DeepLearning_tutorials

guillaume-chevalier / Awesome-Deep-Learning-Resources

curiousily / Getting-Things-Done-with-Pytorch

VivekPa / AIAlpha

lilianweng / stock-rnn

hunkim / word-rnn-tensorflow

senlinuc / caffe_ocr

nlpodyssey / spago

abdulfatir / twitter-sentiment-analysis

Tidy up preprocess.py with pandas

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