Metadata-Version: 2.4
Name: litespecformer
Version: 0.0.1
Summary: A lightweight Transformer-based model for spectrum prediction and time series forecasting
Project-URL: Homepage, https://github.com/wwhenxuan/LiteSpecFormer
Project-URL: Issues, https://github.com/wwhenxuan/LiteSpecFormer/issues
Project-URL: Repository, https://github.com/wwhenxuan/LiteSpecFormer
Author-email: whenxuan <wwhenxuan@gmail.com>
License: Apache License
License-File: LICENSE
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.11
Requires-Dist: accelerate==1.12.0
Requires-Dist: chronos-forecasting==2.2.2
Requires-Dist: colorama==0.4.6
Requires-Dist: datasets==4.5.0
Requires-Dist: einops==0.8.2
Requires-Dist: matplotlib==3.10.8
Requires-Dist: numpy==2.4.3
Requires-Dist: pandas==3.0.1
Requires-Dist: peft==0.18.1
Requires-Dist: pysdkit==0.4.23
Requires-Dist: s2generator==0.0.11
Requires-Dist: safetensors==0.7.0
Requires-Dist: scikit-learn==1.8.0
Requires-Dist: torch==2.10.0
Requires-Dist: tqdm==4.67.1
Requires-Dist: transformers==4.57.6
Requires-Dist: wandb==0.24.2
Description-Content-Type: text/markdown

# LiteSpecFormer

hello, this is the README for LiteSpecFormer, a lightweight spectral prediction model designed for efficient and accurate time-series forecasting. This repository contains the implementation of LiteSpecFormer, along with examples and documentation to help you get started.