Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Char-RNN implemented using TensorFlow.

Little More Advanced TensorFlow Implementations

Implementing Recurrent Neural Network from Scratch

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Chinese Poetry Generation

Char-level RNN LSTM text generator📄.

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

😄 从此爸妈没烦恼！！！

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

Char-level RNN LSTM password cracker 🔑🔓.

Hands-On Deep Learning Algorithms with Python, By Packt

Deep Learning neural network for correcting spelling

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Predict stock movement with Machine Learning and Deep Learning algorithms

Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)

Voice Activity Detection LSTM-RNN learning model

The implementation of LSTM in TensorFlow used for the stock prediction.

Generating Music and Lyrics using Deep Learning via Long Short-Term Recurrent Networks (LSTMs). Implements a Char-RNN in Python using TensorFlow.

A siamese LSTM to detect sentence/question pairs.

Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

The first AI-based Arabic songwriter.

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

A Twitter bot powered by a Recurrent Neural Network (RNN)

Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.

Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.