exper 0.1.2

This is a python package for running deep learning experiments. Users can rapidly run their experiments by importing this module.

# EXPER

Exper is a Python package designed for personal use by the author to streamline the execution of PyTorch-based deep learning experiments. This framework is specifically crafted to support Distributed Data Parallel (DDP) training and provides a convenient mechanism for saving experiment logs.

## Features:

• PyTorch Integration: Built on top of PyTorch, Exper allows seamless integration with the PyTorch deep learning ecosystem.

• DDP Training Support: The framework supports Distributed Data Parallel training, enabling efficient and scalable model training across multiple GPUs.

• Experiment Logging: Easily log and save experiment details, parameters, and results for better reproducibility and analysis.

• Based on torchdrug: Exper is derived from the open-source library torchdrug developed by MILA, providing a foundation for reliable and robust deep learning experiments.

## Installation: `bash pip install exper==0.1.0 `