---
title: "lightly-train"
type: "tool"
slug: "lightly-ai-lightly-train"
canonical_url: "https://www.graphcanon.com/tools/lightly-ai-lightly-train"
github_url: "https://github.com/lightly-ai/lightly-train"
homepage_url: "https://docs.lightly.ai/train"
stars: 1610
forks: 89
primary_language: "Python"
license: "AGPL-3.0"
archived: false
categories: ["model-training", "computer-vision"]
tags: ["embeddings", "deep-learning", "distillation", "depth-estimation", "dinov3", "contrastive-learning", "computer-vision", "dinov2"]
updated_at: "2026-07-12T04:40:00.090506+00:00"
---

# lightly-train

> All-in-one training for vision models: pretraining, fine-tuning, distillation.

A Python-based repository providing comprehensive tools and methods for the training of various computer vision models including YOLO, ViTs, RT-DETR, and DINOv3 with support for pretraining, fine-tuning, and knowledge distillation techniques.

## Facts

- Repository: https://github.com/lightly-ai/lightly-train
- Homepage: https://docs.lightly.ai/train
- Stars: 1,610 · Forks: 89 · Open issues: 64 · Watchers: 9
- Primary language: Python
- License: AGPL-3.0
- Last pushed: 2026-07-10T21:25:22+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T11:30:33.186Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:30:33.769Z
- Full report: [trust report](/tools/lightly-ai-lightly-train/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/lightly-ai-lightly-train/trust)

## Categories

- [Model Training](/categories/model-training.md)
- [Computer Vision](/categories/computer-vision.md)

## Tags

embeddings, deep-learning, distillation, depth-estimation, dinov3, contrastive-learning, computer-vision, dinov2

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [tensorflow](/tools/tensorflow-tensorflow.md) - An Open Source Machine Learning Framework for Everyone (★ 196,300) [Very active]
- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]
- [generative-ai-for-beginners](/tools/microsoft-generative-ai-for-beginners.md) - 21 Lessons, Get Started Building with Generative AI (★ 112,866) [Very active]
- [pytorch](/tools/pytorch-pytorch.md) - Tensors and Dynamic neural networks in Python with strong GPU acceleration (★ 101,752) [Very active]
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step (★ 98,899) [Steady]
- [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) - Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. (★ 91,991) [Dormant]

_+ 2 more not listed._

## Adoption goal

Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/lightly-ai-lightly-train`](/api/graphcanon/tools/lightly-ai-lightly-train)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_