Simple containerized environment to quickly try random stuff, with a focus on python and deep learning tools.
Also includes some experiments and results.
- Dockerfile:
- ubuntu24.04
- nvidia-cuda12.6
- cpp tools
- python tools
- shell tools
- xauth/X11
- miniconda
- vscode configs (vscode/settings.json and devcontainer.json)
- gpu support
- graphical interface support (X11)
- host camera support
- Pre-commit hooks
- Python tool configs (linters, formatters)
- CI/CD (github actions) for formatting/linting
-
devcontainer: containerized docker environment with dev tools and configs.
-
diffusion: data generation using DDPMs (conditional and unconditional generation).
-
dataset_creator: CLIP based text and image search over an image directory and autolabeling using foundational models.
-
dataset_selection: Selecting of most diverse images of a directory based on similarity algorithm (classical CV).