MineGen is a project that uses deep learning and transformers to generate schematic files for Minecraft. The goal of this project is to create a tool that can generate unique and interesting building structures for players to use in their world.
- Python 3.6+
- PyTorch 1.x
- yacs
- ignite
Clone the repository and install the required dependencies:
git clone https://github.com/Viibrant/MineGen pip install -r requirements.txtComing soon...
├── config # default configuration │ ├── defaults.py ├── data │ ├── build.py # script for building the dataset │ ├── collate_batch.py # function for collating data into a batch │ ├── datasets │ │ ├── generate.py # script for generating data │ │ └── mcs # folder to scrape schematic files and metadaa │ │ └── util # helper scripts for downloading and for metadata │ └── transforms # data augmentation for datasets │ ├── build.py │ └── transforms.py ├── engine # scripts for training and inference ├── layers # folder to store custom layers ├── modelling # definitions of all network architectures │ └── schem_model.py # module for the schematic generation model ├── requirements.txt # list of required libraries ├── solver # optimiser for model │ ├── build.py └── tools ├── test_net.py # script for testing the model └── train_net.py # script for training the model- Viibrant - Final year student, dissertation project