shivaniarbat / wgan-gp-transformer
Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"
☆31Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for wgan-gp-transformer
- Through this project we have comprehensively evaluated 10 workload predictors and determined which predictor works the best for Alibaba C…☆11Updated 5 years ago
- By learning and using prediction for failures, it is one of the important steps to improve the reliability of the cloud computing system.…☆11Updated last year
- PPIO workload prediction framework code☆16Updated 3 months ago
- load point forecast☆13Updated 2 years ago
- ☆11Updated 3 years ago
- Time series forecasting especially in LSTF compare,include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…☆100Updated 2 years ago
- This is the project for Internet-related studies.☆22Updated 3 years ago
- [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022☆52Updated last year
- Code for ISSCC2019 paper《Traffic Matrix Prediction Based on Deep Learning for Dynamic Traffic Engineering》☆33Updated 4 years ago
- Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction☆18Updated last year
- (Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization☆16Updated 3 years ago
- CIKM21 accepted paper - Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffi…☆3Updated 2 years ago
- LSTM and ARIMA for network traffic prediction (Christoph Kaiser's MA)☆37Updated 4 years ago
- Many companies are utilizing the cloud for their day to day activities. Many big cloud service providers like AWS, Microsoft Azure have b…☆20Updated 4 years ago
- Code used for research paper, "Using LSTM and SARIMA Models to Forecast Cluster CPU Usage" for the Stanford CS 229 Machine Learning Cours…☆17Updated 4 years ago
- Source code and data for our JSAC paper☆22Updated 4 years ago
- Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM☆28Updated last year
- ☆90Updated last year
- ☆18Updated 4 years ago
- ☆17Updated 3 years ago
- Deep learning PyTorch library for time series forecasting☆118Updated last year
- this project is to implement different deep learning architectures and evaluate them based on their performance on the hour-ahead electri…☆24Updated 3 years ago
- PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications☆20Updated 3 weeks ago
- Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0☆66Updated 5 months ago
- Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …☆40Updated last year
- Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)☆57Updated 7 months ago
- ☆13Updated last year
- 使用LSTM预测回归问题,使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…☆18Updated 4 years ago
- (pytorch)time_series_data-prediction-with-gru-and-lstm☆42Updated 2 years ago