Installation Guide

Requirements

• Python >= 3.11

• PyTorch (recommended latest stable version)

• CUDA (optional, for GPU acceleration)

Dependencies

The package automatically installs the following dependencies:

dependencies = [
   "datasets",
   "exrex",
   "numpy",
   "omegaconf",
   "pandas",
   "peft",
   "psutil",
   "setuptools",
   "torchdiffeq",
   "torchviz",
   "tqdm",
   "transformers",
   "wandb",
   "bitsandbytes",
   "safetensors",
   "torchvision",
   "biotite",
   "pillow",
   "diffusers",
   "einops",
   "tabulate",
   "overrides",
]

Installation Methods

From Source (Recommended)

git clone https://github.com/zeroDtree/pkg_py.git
cd pkg_py
pip install -e .

Verification

To verify your installation, run:

import ls_mlkit
print("ls-mlkit installed successfully!")