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#

deep-learning-algorithms

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

Here are 481 public repositories matching this topic...

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

  • UpdatedNov 27, 2023
  • Python

Deep learning software for colorizing black and white images with a few clicks.

  • UpdatedJul 29, 2022
  • Python
sparseml

The deeplearning algorithms implemented by tensorflow

  • UpdatedFeb 27, 2019
  • Jupyter Notebook

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

  • UpdatedNov 23, 2020
  • Jupyter Notebook

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

  • UpdatedSep 17, 2023

PyTorch implementation of Deformable Convolution

  • UpdatedJul 21, 2021
  • Python

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

  • UpdatedFeb 12, 2024
  • Python
fire-detection-cnnradsparsezooModernConvNets

Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

  • UpdatedOct 5, 2022
  • Jupyter Notebook

【不定期更新】收集整理的一些网站中(如知乎、Quora、Reddit、Stack Exchange等)与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

  • UpdatedJun 4, 2019
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