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 reddit.com/r/learnmachinelearning

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  • yolov7

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

  • latent-diffusion

    High-Resolution Image Synthesis with Latent Diffusion Models

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  • NUWA

    A unified 3D Transformer Pipeline for visual synthesis

  • hivemind

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

  • theseus

    A library for differentiable nonlinear optimization (by facebookresearch)

  • 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.

  • XMem

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

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • Cream

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

  • Unicorn

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

  • multiface

    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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