log anomaly detection toolkit including DeepLog

Pytorch Implementation of 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

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

Predict next number in a sequence using a simple ANN. Modularized code with classes for data preparation, neural network architecture, and training.

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.

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

The repository includes implementations of quaternion networks and new QALE loss function, which calculates the error value based on the difference in angles between the result and the expected value. Procedures for performing the training and evaluation of predicting successive elements of a rotation sequence are also provided.

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

An attempt to implement machine learning techniques for sequence predictions

Transformer-based Implementation of DeepLog.

A LSTM model to predict the next Fibonacci number.

LSTM network using Keras for sequence prediction

https://arxiv.org/pdf/2012.15476.pdf