A Product Sequence Predictor and Recommender Application made as a part of the Machine Learning Lab Course in the curriculum of B. Tech. Data Science & Engineering at Manipal Institute of Technology.
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Updated
Jul 1, 2022 - Jupyter Notebook
A Product Sequence Predictor and Recommender Application made as a part of the Machine Learning Lab Course in the curriculum of B. Tech. Data Science & Engineering at Manipal Institute of Technology.
An AI microtales generator with a Twitter interface
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
Recurrent neural network(RNN) Sequence Prediction, Jordan networks, Simple recurrent networks(SRN)
An attempt to implement machine learning techniques for sequence predictions
Transformer-based Implementation of DeepLog.
Neural Networks for learning with structured data types
Persian text generation using GRU model and persian wikipedia dataset
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.
Comparison of Sequence Prediction Algorithms on a Structured Prediction Problem
Opportunistic planning model to generate action sequence predictions for human behavior in everyday activities
A LSTM model to predict the next Fibonacci number.
Project using Compact Prediction Tree Algorithm. Based on the paper "Compact Prediction Tree : A lossless model for accurate sequence prediction"
🌟 Scott Miner's GitHub portfolio showcasing personal projects, coding skills, and expertise in Software Development/Data Analytics/AI/ML. Get in touch for collaboration!
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.
An Implementation of the Context Tree Weighting (CTW) Sequence Prediction Algorithm
Optimization of transition matrix for multystate sequences
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