This repository contains an official implementation of Learning Fine-grained Estimate of Biological States from Coarse Labels

Create an virtual environment with Python 3.6 using Anaconda:

conda create - n bioenet python=3.6

Download and extract the simulated sEMG dataset:

wget https://cloud.tsinghua.edu.cn/f/fd012a23ef894c949e2d/?dl=1 -O data.zip
unzip data.zip

Install the requirements:

pip install - r requirements.txt

Run the following command for training. The testing will be performed during training.

python train_test.py