Back to AI Repos
Vision

d2l-ai/d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

d2l-ai/d2l-zh is an open-source project in the vision space, written mainly in Python.

It sits at around 80.3k stars and 12.4k forks, and was last pushed on 2024-07-30.

If something here is out of date, the source link below is always the canonical reference.

CategoryVision
Stars80.3k
Forks12.4k
LanguagePython
Last pushed2024-07-30
Topicsbook, chinese, computer-vision, deep-learning
git clone https://github.com/d2l-ai/d2l-zh.git

How to use it

  1. Clone the repository with the command above.
  2. Follow its own README for dependencies and setup.
  3. Check the open issues and last-push date before you build on it.
Compiled and written by HowToPrompts from public sources. Open on GitHub ↗

Related in Vision

ruvnet/RuViewΠ RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presenceopencv/opencvOpen Source Computer Vision LibraryPaddlePaddle/PaddleOCRTurn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridopendatalab/MinerUTransforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflowstesseract-ocr/tesseractTesseract Open Source OCR Engine (main repository)microsoft/AI-For-Beginners12 Weeks, 24 Lessons, AI for All!ultralytics/ultralyticsUltralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image claultralytics/yolov5Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and exporageitgey/face_recognitionThe world's simplest facial recognition api for Python and the command lineroboflow/supervisionWe write your reusable computer vision tools.
← Back to AI Repos