tdeboissiere/DeepLearningImplementations
A collection of Python implementations of recent deep learning research papers.
Not currently ranked — collecting fresh signals.
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This repository provides reference implementations of notable deep learning papers from the academic literature. It includes implementations of DenseNet, DeconvNet, Colorful Image Colorization, GAN variants (WassersteinGAN, InfoGAN, BEGAN, pix2pix), and other neural network architectures. The implementations are written in Python using deep learning frameworks.
Frequently asked
- What is tdeboissiere/DeepLearningImplementations?
- A collection of Python implementations of recent deep learning research papers.
- Is DeepLearningImplementations open source?
- Yes — tdeboissiere/DeepLearningImplementations is open source, released under the MIT license.
- What language is DeepLearningImplementations written in?
- tdeboissiere/DeepLearningImplementations is primarily written in Python.
- How popular is DeepLearningImplementations?
- tdeboissiere/DeepLearningImplementations has 1.8k stars on GitHub.
- Where can I find DeepLearningImplementations?
- tdeboissiere/DeepLearningImplementations is on GitHub at https://github.com/tdeboissiere/DeepLearningImplementations.