Cnn Lstm Ctc Ocr
weinman
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
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Results: 35
weinman
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
watsonyanghx
CNN+LSTM+CTC based OCR implemented using tensorflow.
githubharald
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
githubharald
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
NourozR
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
SC4RECOIN
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
AlexGidiotis
A bidirectional LSTM with attention for multiclass/multilabel text classification.
imhgchoi
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
curiousily
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anoma…
lilianweng
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
abdulfatir
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
jiegzhan
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
JordiCorbilla
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
kaushikjadhav01
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask an…
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