tdeboissiere/DeepLearningImplementations resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1812 stars · 638 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Python implementations of recent deep learning research papers, including DenseNet, various GAN variants, pix2pix, InfoGAN, and SELU networks. It serves as educational reference code for understanding how published models are built.

Use cases

• learn how GANs are implemented from papers
• study reference implementations of DenseNet
• understand pix2pix and InfoGAN code
• find example code for Wasserstein GAN
• learn self-normalizing networks from scratch

When to choose

• you want readable reference code for classic deep learning papers
• you are learning how GAN architectures work in practice

When to avoid

• you need production-ready or maintained deep learning code
• you need implementations of recent papers (last release 2020)
• you need a framework or library with a stable API

Facets

learning-resource · maturity abandoned

deep-learning machine-learning image-processing deep-learning machine-learning computer-vision tutorials python paper-implementations gan educational research-code

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tdeboissiere/DeepLearningImplementations")