long-short-term-memory topic

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Rajat-dhyani

End-2-end speech synthesis with recurrent neural networks

tiberiu44

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsuper...

adobe

用Tensorflow实现的深度神经网络。

zhuofupan

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem emplo...

gionanide

Real-time, Multi-person & Multi-camera Fall Detector in Python

taufeeque9

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

LahiruJayasinghe

Character Embeddings Recurrent Neural Network Text Generation Models

yxtay

A tensorflow implementation for EEGLearn

YangWangsky

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

mithi