FluxML/model-zoo
Please do not feed the models
What it solves
This repository serves as a collection of reference implementations and demonstrations for the Flux machine learning library. It provides users with ready-to-use starting points for building their own models, covering a wide range of machine learning tasks across different modalities.
How it works
The project is organized as a "zoo" of standalone examples. Each model implementation is contained within its own folder, utilizing Julia project environments to pin specific package versions for reproducibility. Users can run these models using Julia's package manager (Pkg) to instantiate the environment and then executing the the model scripts.
Who it’s for
- Machine learning practitioners looking for reference implementations of common architectures in Julia.
- Developers wanting to learn how to use the Flux library by studying concrete examples.
- Researchers needing a quick starting point for vision, text, or reinforcement learning models.
Highlights
- Diverse Model Categories: Includes implementations of CNNs, RNNs, VAEs, GANs, and NanoGPT.
- GPU Support: Most models are designed to be CPU/GPU agnostic and support NVIDIA GPUs via CUDA.
- ** وكذلك
- Reproducible Environments: Each example uses a local Project and Manifest file to ensure the exact package versions are used.
- Gitpod Integration: Provides a cloud-based IDE option for quickly running examples without local setup.