https://github.com/rparrett/kilter_brain_gen

Kilter Board climb generation experiments
https://github.com/rparrett/kilter_brain_gen

Last synced: 18 days ago
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Kilter Board climb generation experiments

• Host: GitHub
• URL: https://github.com/rparrett/kilter_brain_gen
• Owner: rparrett
• Created: 2024-03-25T02:36:42.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-08-29T16:07:09.000Z (3 months ago)
• Last Synced: 2024-10-15T08:48:08.991Z (30 days ago)
• Language: Python
• Size: 59.6 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# kilter_brain_gen

Generating kilter board problems with transformers

## Usage

### Clone the repo

```bash

git clone https://github.com/rparrett/kilter_brain_gen

cd kilter_brain_gen

```

### Get the kilter sqlite database

- Install [`sqlite`](https://www.sqlite.org/download.html)

- Use [boardlib](https://github.com/lemeryfertitta/BoardLib) or extract from a kilter `apk` file.

- Run `get_csv.sh`

### Install dependencies

- Install [just](https://github.com/casey/just?tab=readme-ov-file#installation)

- Run `just venv`

- Run `just sync-deps`

- Windows Only: Run `just torch-cuda`

### Train the `climb` model

- `just run src/climb_clm/train_tokenizer.py`

- `just run src/climb_clm/train.py`

### Generate some climbs

- `just run src/climb_clm/generate.py`

### Run the API server

- `just flask`

- Debug builds of [`kilter_brain`](https://github.com/rparrett/kilter_brain) will connect to the local server.

## TODO

- [ ] Train a model for route names that actually works

- [ ] Tidy everything up with a nice CLI framework

- [ ] Add similarity search

- [ ] Somehow specify windows-specific dependencies that grab torch with CUDA support

### Experiments

- [ ] Try adding duplicate climbs with randomized frame data ([shuffle-frames](https://github.com/rparrett/kilter_brain_gen/tree/shuffle-frames))

- [ ] Try different sampling strategies for climb data