brevdev/launchables resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1816 stars · 314 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter notebook guides from the Brev.dev (NVIDIA Brev) team covering LLM fine-tuning, multi-modal models, image segmentation, and other AI/ML tasks. Each notebook includes minimum GPU specs and a one-click deploy badge to run it on a GPU instance.

Use cases

• fine-tune llama3 with direct preference optimization
• learn how to fine-tune large language models on a gpu
• run image segmentation notebooks on cloud gpus
• deploy preconfigured gpu environments for ai notebooks
• train multi-modal models with example notebooks
• find minimum gpu requirements for llm training

When to choose

• you want hands-on, runnable notebooks for LLM fine-tuning or computer vision
• you want one-click GPU deployment instead of manual environment setup
• you are learning AI/ML tasks with guided examples

When to avoid

• you need production training pipelines rather than tutorial notebooks
• you want a software library or API to integrate into your own code
• you need environments without GPU access

Facets

learning-resource · maturity active

machine-learning llm-training deep-learning computer-vision machine-learning deep-learning large-language-models computer-vision tutorials python cloud jupyter-notebooks fine-tuning gpu-notebooks nvidia-brev one-click-deploy multimodal-models image-segmentation gpu

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For agents

markdown · JSON · MCP: product_card(name="brevdev/launchables")