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Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

Here are 9,141 public repositories matching this topic...

An Open Source Machine Learning Framework for Everyone

  • UpdatedOct 7, 2025
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The most cited deep learning papers

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Latex code for making neural networks diagrams

  • UpdatedAug 21, 2023
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YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  • UpdatedAug 28, 2025
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Open standard for machine learning interoperability

  • UpdatedOct 7, 2025
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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

  • UpdatedMar 11, 2023
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The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  • UpdatedSep 21, 2025

pix2code: Generating Code from a Graphical User Interface Screenshot

  • UpdatedMay 29, 2024
  • Python

A paper list of object detection using deep learning.

  • UpdatedFeb 12, 2024
  • Python
neural-doodle

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

  • UpdatedOct 1, 2020
  • Python
techniquesoneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

  • UpdatedAug 20, 2025
  • C++
lama

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

  • UpdatedOct 3, 2025
  • Jupyter Notebook
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github.com/topics/deep-neural-networks
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