Popular GitHub Repositories for Sequential Models

Variational Auto-Encoders in a Sequential Setting.

Building a RNN and LSTM from scratch with NumPy.

This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a deep neural network. The proposed approach is used specifically for explaining LSTM networks for anomaly detection task in time-series data (satellite telemetry data).

[AAAI'25 Oral] The official implementation code of LLMEmb

Generative model based HMM model

Source Code Generation Based On User Intention Using LSTM Networks

Solve complex real-life problems with the simplicity of Keras

An easy and efficient tool to build sequential recommendation system utilizing SASRec

Text Sentiment Analysis with RNNs Models + Additive Attention and Transformers

Implementation of the paper 'Towards Full page Offline Bangla Handwritten Text Recognition using Image-to-Sequence Architecture'. For details, please read the README section.

A machine learning and deep learning project from ground up.

Implemented this novel architecture (in pytorch) as part of my research study for the problem I focused on, during my work as a Research Intern at Language Technology Research Center, IIIT Hyderabad, India.

Online anomaly detectors suitable for the detection of point and contextual anomalies on time series data streams.

This project aims to implement LSTM and GRU.

Text classification using NLP with Sequential model developed on LSTM architecture utilizing Embedding and Tokenizer