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

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

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 (satellit…

Sequential recommendation algorithm

Run keras models with a Flux backend

Source Code Generation Based On User Intention Using LSTM Networks

Generative model based HMM model

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

Solve complex real-life problems with the simplicity of Keras

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)

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

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.

layers

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

It include Classification & Regression models trained on Huge kaggle datasets

Data loader and model for variable length data in PyTorch