# skygazer42/DL-Hub

llms 大模型 笔记50篇 此仓库包含关于机器学习、深度学习、计算机视觉、自然语言处理、大模型 爬虫等领域 项目实战

Repository: https://github.com/skygazer42/DL-Hub
Canonical: https://ross.abutalabs.com/products/dl-hub
Homepage: https://skygazer42.github.io/DL-Hub/
Language: Python
License: MIT
License Family: permissive
Topics: cv, deeplearning, llms, nlp, notes, project, spider, sql
Last push: 2026-08-30T13:50:31+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 100, release rhythm 35, longevity 100
- inputs: {"age_days": 1611, "days_push": 3, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1114, forks 66 (observed 2026-09-01T02:14:07.397718+00:00)

## What it is
DL-Hub is a comprehensive PyTorch deep learning learning repository with 339 lessons across 8 tracks (vision, NLP, GNN, point cloud, generative, LLM, multimodal, foundations) plus a large audited model zoo of 8611 registered implementations. It also includes 50+ LLM paper notes and hands-on projects spanning machine learning, computer vision, NLP, and web scraping.

## Use cases
- learn pytorch deep learning from scratch
- study transformer and llm architecture with paper notes
- find reference implementations of vision models like ViT and Swin
- learn graph neural networks like GCN and GraphSAGE
- practice point cloud processing with PointNet
- understand VAE and GAN generative models
- learn multimodal models like CLIP and LLaVA
- run structured deep learning lessons with unified training scaffolding

## When to choose
- you want a structured, progressive curriculum for PyTorch deep learning
- you need audited reference implementations across many model families
- you want paper notes alongside runnable code for LLMs

## When to avoid
- you need a production-ready inference or training framework
- you want a plug-and-play library rather than educational code
- you need non-PyTorch frameworks like TensorFlow or JAX

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, nlp, computer-vision, llm-training, web-scraping, developer-tools
- domain: deep-learning, machine-learning, computer-vision, large-language-models, tutorials, education
- platform: python, cross-platform
- tags: pytorch, model-zoo, tutorials, notes, transformers, gnn, multimodal, point-cloud, gan, numpy, natural-language-processing

## Member repositories
- skygazer42/DL-Hub (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-09-01T02:14:07.397718+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:42:31.874056+00:00, confidence not recorded.
  - readme: https://github.com/skygazer42/DL-Hub (fetched 2026-09-01T02:14:07.397718+00:00, sha f0bb6afd3225)
  - homepage: https://skygazer42.github.io/DL-Hub/ (fetched 2026-08-29T12:46:27.737506+00:00, sha 02f75249e73a)
- Data as of 2026-08-30T08:39:29.467469+00:00.