lstm

There are 33 repositories under lstm topic.

tesseract-ocr / tesseract
Tesseract Open Source OCR Engine (main repository)
hacktoberfest lstm machine-learning ocr ocr-engine tesseract tesseract-ocr
Language:C++ 45765
apachecn / ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
fp-growth apriori mahchine-leaning naivebayes svm adaboost kmeans svd pca logistic regression recommendedsystem sklearn scikit-learn nlp deeplearning python dnn lstm rnn
Language:Python 33543
JaidedAI / EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
cnn crnn data-mining deep-learning easyocr image-processing information-retrieval lstm machine-learning ocr optical-character-recognition python pytorch scene-text scene-text-recognition
Language:Python 15186
Screenshot-to-code
emilwallner / Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
keras deep-learning seq2seq encoder-decoder lstm floydhub machine-learning cnn cnn-keras jupyter-notebook jupyter
Language:HTML 13700
ddbourgin / numpy-ml
Machine learning, in numpy
attention bayesian-inference gaussian-mixture-models gaussian-processes good-turing-smoothing gradient-boosting hidden-markov-models knn lstm machine-learning mfcc neural-networks reinforcement-learning resnet topic-modeling vae wavenet wgan-gp word2vec
Language:Python 11364
ml5js / ml5-library
Friendly machine learning for the web! 🤖
deep-learning imagenet javascript lstm machine-learning neural-network p5js p5xjs
Language:JavaScript 5623
huseinzol05 / Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
deep-learning deep-learning-stock evolution-strategies learning-agents lstm lstm-sequence monte-carlo monte-carlo-markov-chain seq2seq stock-market stock-prediction-models stock-price-forecasting stock-price-prediction strategy-agent trading-bot
Language:Jupyter Notebook 5291
bentrevett / pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pytorch seq2seq sequence-to-sequence tutorial rnn gru lstm torchtext pytorch-tutorial pytorch-implmention encoder-decoder encoder-decoder-model neural-machine-translation pytorch-seq2seq attention transformer cnn-seq2seq pytorch-implementation pytorch-tutorials pytorch-nlp
Language:Jupyter Notebook 3905
bentrevett / pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
bert cnn cnn-text-classification fasttext lstm lstm-sentiment-analysis natural-language-processing nlp pytorch pytorch-nlp pytorch-tutorial pytorch-tutorials recurrent-neural-networks rnn sentiment-analysis sentiment-classification torchtext transformers tutorial word-embeddings
Language:Jupyter Notebook 3516
jinfagang / tensorflow_poems
中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！
lstm poetry rnn tensorflow
Language:Python 3504
guillaume-chevalier / LSTM-Human-Activity-Recognition
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 lstm human-activity-recognition neural-network rnn recurrent-neural-networks tensorflow activity-recognition
Language:Jupyter Notebook 3016
jisungk / deepjazz
Deep learning driven jazz generation using Keras & Theano!
deep-learning jazz keras lstm machine-learning music neural-networks rnn theano
Language:Python 2801
zzw922cn / Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
audio automatic-speech-recognition chinese-speech-recognition cnn data-preprocessing deep-learning end-to-end evaluation feature-vector layer-normalization lstm paper phonemes rnn rnn-encoder-decoder speech-recognition tensorflow timit-dataset
Language:Python 2774
pytorch-kaldi
mravanelli / pytorch-kaldi
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.
speech-recognition gru dnn kaldi rnn-model pytorch timit deep-learning deep-neural-networks recurrent-neural-networks multilayer-perceptron-network lstm lstm-neural-networks speech asr rnn dnn-hmm
Language:Python 2192
salesforce / awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
language-model lstm pytorch qrnn sgd
Language:Python 1869
tobegit3hub / tensorflow_template_application
TensorFlow template application for deep learning
tensorflow tfrecords libsvm csv deep-learning machine-learning mlp cnn lstm inference tensorboard wide-and-deep serving
Language:Python 1867
UB-Mannheim / tesseract
Tesseract Open Source OCR Engine (main repository)
lstm ocr ocr-d ocr-d-mp tesseract-ocr windows-build
Language:C++ 1833
jiesutd / NCRFpp
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.
pytorch ner sequence-labeling crf lstm-crf char-rnn char-cnn named-entity-recognition part-of-speech-tagger chunking neural-networks nbest lstm cnn natural-language-processing artificial-intelligence
Language:Python 1817
rguthrie3 / DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
nlp pytorch deep-learning tutorial lstm neural-network
Language:Jupyter Notebook 1776
Alro10 / deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
time-series-forecasting lstm-neural-networks lstm deep-learning forecasting-models prediction python3 pytorch tensorflow series-forecasting series-classification time-series time-series-prediction time-series-classification forecasting-competitions demand-forecasting recurrent-neural-networks series-analysis sales-forecasting deep-neural-networks
Language:Jupyter Notebook 1742
xiaohu2015 / DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
tensorflow deep-learning-algorithms cnn dbn deep-learning-tutorial lstm sda mlp rbm
Language:Jupyter Notebook 1651
huseinzol05 / NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
attention chatbot deep-learning dnc-seq2seq embedded language-detection lstm lstm-seq2seq-tf luong-api machine-learning neural-machine-translation nlp optical-character-recognition pos-tagging speech-to-text summarization
Language:Jupyter Notebook 1646
curiousily / Getting-Things-Done-with-Pytorch
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.
pytorch deep-learning machine-learning computer-vision object-detection face-detection face-recognition time-series time-series-forecasting coronavirus tutorial lstm anomaly-detection time-series-anomaly-detection bert sentiment-analysis transformer nlp transfer-learning yolo
Language:Jupyter Notebook 1615
guillaume-chevalier / Awesome-Deep-Learning-Resources
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
awesome awesome-list deep-learning machine-learning tensorflow lstm cnn
1503
VivekPa / AIAlpha
Use unsupervised and supervised learning to predict stocks
artificial-intelligence artificial-neural-networks lstm machine-learning stock-price-prediction algorithmic-trading quantitative-finance autoencoder wavelet-transform yahoo-finance-api python trading-strategies
Language:Python 1410
lilianweng / stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
embeddings lstm rnn-tensorflow stock-price-prediction
Language:Python 1386
hunkim / word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
lstm python rnn rnn-tensorflow tensorflow
Language:Python 1299
abdulfatir / twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
cnn deeplearning keras lstm machine-learning python sentiment-analysis sentiment-classification
Language:Python 1229
senlinuc / caffe_ocr
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 ctc res-lstm densenet
Language:C++ 1212
spago
nlpodyssey / spago
Self-contained Machine Learning and Natural Language Processing library in Go
artificial-intelligence automatic-differentiation automatic-translation bart bert bert-as-service computation-graph deep-learning deeplearning language-model lstm machine-learning named-entities-recognition natural-language-processing neural-network nlp question-answering recurrent-networks transformer-architecture
Language:Go 1205
HendrikStrobelt / LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
lstm neural-network visualization recurrent-neural-networks
Language:Jupyter Notebook 1103
chenyuntc / PyTorchText
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)
pytorch nlp textcnn textrnn fasttext textrcnn lstm
Language:Python 1055
flow-forecast
AIStream-Peelout / flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression transfer-learning transformer
Language:Python 1040
feross / awesome-mad-science
Delightful npm packages that make you say "wow, didn't know that was possible!"
awesome awesome-list lstm npm javascript nodejs browser browserify mad-science
999
conv-emotion
declare-lab / conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
dialogue-systems conversational-agents conversational-ai emotion-recognition emotion-analysis sentiment-analysis pretrained-models natural-language-processing natural-language-understanding memory-network lstm pytorch emotion-recognition-in-conversation
Language:Python 948
adeshpande3 / LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
sentiment-analysis tensorflow lstm rnn
Language:Jupyter Notebook 931

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