paper-implementations

Open-source projects categorized as paper-implementations

Top 9 paper-implementation Open-Source Projects

  • PyTorch-VAE

    A Collection of Variational Autoencoders (VAE) in PyTorch.

  • ALAE

    [CVPR2020] Adversarial Latent Autoencoders

  • InfluxDB

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  • pytorch-generative

    Easy generative modeling in PyTorch.

  • Deep-Learning

    In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

  • qubo-nn

    Classifying, auto-encoding and reverse-engineering QUBO matrices

  • pytorch-implementations

    A collection of paper implementations using the PyTorch framework

  • smaller-labse

    Applying "Load What You Need: Smaller Versions of Multilingual BERT" to LaBSE

  • SaaSHub

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  • RefinementGAN

    Official implementation of the paper: https://arxiv.org/abs/2108.04957

  • paper-implementations

    Attempts to implement various deep learning, computer vision papers. (by quickgrid)

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

paper-implementations related posts

  • [P] Make LaBSE(language-agnostic BERT Sentence Embedding) smaller for practical usage

    3 projects | /r/MachineLearning | 15 Sep 2021
  • [P] [R] An Image-based Generator Architecture for Synthetic Image Refinement

    1 project | /r/MachineLearning | 22 Aug 2021
  • Paper Implementations using PyTorch

    1 project | /r/learnmachinelearning | 11 Jun 2021

Index

What are some of the best open-source paper-implementation projects? This list will help you:

Project Stars
1 PyTorch-VAE 6,013
2 ALAE 3,494
3 pytorch-generative 403
4 Deep-Learning 147
5 qubo-nn 40
6 pytorch-implementations 23
7 smaller-labse 17
8 RefinementGAN 3
9 paper-implementations 3

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