A simple PyTorch library for time series analysis
Project description
What is torchcast? 
torchcast is a library for time series forecasting, classification, and regression in PyTorch. It focuses primarily on making it easy to fetch, preprocess, and iterate over time series datasets. It is still under heavy construction.
Installation
torchcast includes C++ code that must be compiled to be used. To install torchcast, first make sure that you have g++ installed, along with Python, including its development headers. Then, run:
git clone https://github.com/TheoremEngine/torchcast.git
cd torchcast
python3 setup.py install
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