julylle Goto Github PK

bidirectional_rnn

bidirectional lstm

dakota-tools

A Dakota to Python interface that automates and stores Dakota model analyses

deep-learning-keras

Building a regression model using the Keras library. Building a classification model using the Keras library. The difference between the shallow and deep neural networks. Convolutional networks and how to build them using the Keras library. Recurrent Neural Networks. Autoencoders and how to build them using the Keras library.

deep-neural-networks-for-stock-price-prediction

Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction

deeplearning-lab

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

dep

Go dependency management tool experiment (deprecated)

detecting-sarcasm-in-newspaper-headlines-

This repository makes use of a bidirectional LSTM network using pre-trained word embeddings to detect sarcasm in newspaper headlines.

groundwater-level-forecasting-with-anns-a-comparison-of-lstm-cnn-and-narx

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lstm

makeyourownneuralnetwork

Code for the General NNs, used for distinguish hand-writing numbers

mozi

Deep Learning Package base on Theano

pyadm1

PyADM1: a Python implementation of Anaerobic Digestion Model number 1

sl_usl_mlearning

RNN, CNN, ANN, Boltzmann Machine, SOM and Autocoder implemented using Keras, Tensorflow and PyTorch

su

Alana for elderly care