good computer vision or deep learning projects in github

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

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  • examples

    TensorFlow examples (by tensorflow)

  • models

    Models and examples built with TensorFlow

    TensorFlow Models (GitHub: is a collection of diverse TensorFlow-based ML and DL models for tasks like image classification, object detection, and text classification.

  • Onboard AI

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  • pytorch-image-models

    PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more [Moved to:] (by rwightman)

    PyTorch Image Models (timm) (GitHub: is a library of deep learning models and utilities in PyTorch, including popular models like ResNet and EfficientNet.

  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

    YOLOv5 (GitHub: is a fast, accurate object detection model with code for training, testing, deployment, and pre-trained weights.

  • detectron2

    Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

    Detectron2 (GitHub: is a Facebook AI Research library with state-of-the-art object detection and segmentation algorithms in PyTorch.

  • OpenCV

    Open Source Computer Vision Library

    OpenCV (GitHub: is a widely-used computer vision library with real-time image/video processing, feature extraction, and ML algorithms, supporting multiple languages.

  • PytorchNeuralStyleTransfer

    Implementation of Neural Style Transfer in Pytorch

    Neural Style Transfer (GitHub: is a PyTorch implementation for applying the style of one image to another while preserving content.

  • 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.

  • CycleGAN

    Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

    CycleGAN (GitHub: is a deep learning-based image-to-image translation approach without paired examples, implemented in PyTorch.

  • transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    Hugging Face Transformers (GitHub: is a library of advanced NLP models, also supporting multimodal tasks like image captioning and visual question answering.

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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