minajwsy's repositories
RL-Magic-of-DynamicProgramming
Implement the article 'Towards a Better Way to Teach Dynamic Programming' (Forišek, 2015) as a series of Jupyter notebooks
NLP-Transformer
Jupyter notebooks for the Natural Language Processing with Transformers book
stable-diffusion-webui
StableDiffusion-webUI
RULpred
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
pandasAI
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
DeepRL-minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
LSTMAE-Informer20
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
LSTMAE-TranAD-impe
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
LSTM-AE-Attention-jules
:chart_with_upwards_trend: PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series :chart_with_upwards_trend:
RULpred3
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
StemGNN-microsoft
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
MADgan-torch
Multivariate Anomaly Detection with GAN (MAD-GAN) PyTorch modern implementation.
ML--teddy
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Seq2Se2-kaggle1--webTraffic
1st place solution
GNN-connDot
Zonghan Wu -cite414
Traffic-Prediction-
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
ST-GCN
The PyTorch version of STGCN: The paper <18Spatio-Temporal-GCN4TrafficForcasting-Bing-cite1590>
TrafficSpeed_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
Temporal-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
LSTM2-Seq2Seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
MDST-GNN
a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing shortcomings and improve the accuracy of periodic data prediction in this paper.
Graph-WaveNet
Graph-Wavenet
Seq2Seq-DeepTimeSeriesPrediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
TransGAN
This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.