PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Variational Auto-Encoders in a Sequential Setting.

ASCII summary for simple sequential models in Keras

https://github.com/JiachengLi1995/TiSASRec in PyTorch

Building a RNN and LSTM from scratch with NumPy.

Sequential recommendation algorithm

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 (satellit…

Run keras models with a Flux backend

Source Code Generation Based On User Intention Using LSTM Networks

Generative model based HMM model

Solve complex real-life problems with the simplicity of Keras

Hand Gesture Recognition using CNNs and Perceptrons in realtime (OpenCV)

Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https://arxiv.org/abs/2106.06165

the code of our paper "Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences For Dynamic Person-Job Fit" (实现十多个人岗匹配模型和动态人岗匹配模型的算法库，2021)

layers

[arXiv'24] The official implementation code of LLMEmb

Data loader and model for variable length data in PyTorch

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

This repository contains skin cancer lesion detection models. These are trained on a sequential and a custom ResNet model

Splitting and classifying documents from a pdf or image consisting of 5 classes of documents like Aadhar card,Pan etc followed by information retrieval from each document.