Pinned Repositories
torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Large-Time-Series-Model
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)
DeepSTUQ_Pytorch
DIST_Dataset
DIST Dataset: A detailed month-long data collection from a methanol distillation process
iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
MOPSO_python
based on the version of "https://github.com/dreamoffeature/mopso", which has too many mistakes, I rewrite the MOPSO algorithm
pyAspenPlus
This is a Python package for AspenPlus manipulating.
SAM-Adapter
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
STC-SDE
the code of paper STC-SDE: Trustworthy Multivariate Time Series Prediction for Industrial Process Control
Time-Series-Library
A Library for Advanced Deep Time Series Models.
wyl010607's Repositories
wyl010607/DIST_Dataset
DIST Dataset: A detailed month-long data collection from a methanol distillation process
wyl010607/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
wyl010607/MOPSO_python
based on the version of "https://github.com/dreamoffeature/mopso", which has too many mistakes, I rewrite the MOPSO algorithm
wyl010607/pyAspenPlus
This is a Python package for AspenPlus manipulating.
wyl010607/SAM-Adapter
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
wyl010607/STC-SDE
the code of paper STC-SDE: Trustworthy Multivariate Time Series Prediction for Industrial Process Control
wyl010607/Time-Series-Library
A Library for Advanced Deep Time Series Models.