[D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  1. yolov7

    Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. latent-diffusion

    High-Resolution Image Synthesis with Latent Diffusion Models

  4. NUWA

    A unified 3D Transformer Pipeline for visual synthesis

  5. hivemind

    Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

  6. theseus

    A library for differentiable nonlinear optimization (by facebookresearch)

  7. deeplab2

    DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

  8. XMem

    [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

  9. Cream

    Discontinued This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]

  10. Unicorn

    [ECCV'22 Oral] Towards Grand Unification of Object Tracking (by MasterBin-IIAU)

  11. multiface

    Discontinued Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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