Chatbot in 200 lines of code using TensorLayer

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

The Official Deep Learning Framework for Route-based Place Recognition

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

All about Neural Networks!

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

language model in Chinese，基于Pytorch官方文档实现

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Stock Price Prediction using Machine Learning Techniques

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Sentiment Analysis with LSTMs in Tensorflow

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Keras tutorial for beginners (using TF backend)

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971