PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
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Updated
Oct 14, 2024 - Python
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
Text Sentiment Analysis with RNNs Models + Additive Attention and Transformers
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