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Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused
on line recognition, but also still supports the legacy Tesseract OCR engine of
Tesseract 3 which works by recognizing character patterns. Compatibility with
Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0).
It also needs traineddata files which support the legacy engine, for example
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Deep GenerationI used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
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Keras SruImplementation of Simple Recurrent Unit in Keras
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QrnnQuasi-recurrent Neural Networks for Keras
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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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Codegan[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
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Keras TcnKeras Temporal Convolutional Network.
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Stock PredictionSmart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
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