sequence-prediction

Pytorch Implementation of DeepLog.

log anomaly detection toolkit including DeepLog

FloydHub porting of Pytorch time-sequence-prediction example

Four digit SVHN (Street View House Number) sequence prediction with CNN using Keras with TensorFlow backend

Temporal Convolutional Network for Sequence Modelling

An Implementation of the Context Tree Weighting (CTW) Sequence Prediction Algorithm

Simple implementation of Hidden Markov Model for discrete outcomes/observations in Python. It contains implementation of 1. Forward algorithm 2. Viterbi Algorithm and 3. Forward/Backward i.e. Baum-Welch Algorithm.

Prediction of the binding specificity of transcription factors using support vector regression

Rock Paper Scissors using Discrete Markov Chains : The program calculates the probability of the opponent picking one of the three states (R/ P/ S) from choices made by the opponent during the previous games.

Contains code for building a simple lstm model to predict hourly Beijing air quality data.

biLSTM model with the attention mechanism. Example of prediction/inferencing included.

Project using Compact Prediction Tree Algorithm. Based on the paper "Compact Prediction Tree : A lossless model for accurate sequence prediction"

Neural Networks for learning with structured data types

Opportunistic planning model to generate action sequence predictions for human behavior in everyday activities

An AI microtales generator with a Twitter interface

Recurrent neural network(RNN) Sequence Prediction, Jordan networks, Simple recurrent networks(SRN)

Prediction of the binding sites of multiple transcription factors in a whole genome

An attempt to implement machine learning techniques for sequence predictions