good computer vision or deep learning projects in github

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

Our great sponsors
  • Onboard AI - Learn any GitHub repo in 59 seconds
  • Sonar - Write Clean Python Code. Always.
  • Revelo Payroll - Free Global Payroll designed for tech teams
  • InfluxDB - Collect and Analyze Billions of Data Points in Real Time
  • examples

    TensorFlow examples (by tensorflow)

  • models

    Models and examples built with TensorFlow

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

  • Onboard AI

    Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.

  • 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: https://github.com/huggingface/pytorch-image-models] (by rwightman)

    PyTorch Image Models (timm) (GitHub: https://github.com/rwightman/pytorch-image-models) 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: https://github.com/ultralytics/yolov5) 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: https://github.com/facebookresearch/detectron2) 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: https://github.com/opencv/opencv) 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: https://github.com/leongatys/PytorchNeuralStyleTransfer) 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: https://github.com/junyanz/CycleGAN) 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: https://github.com/huggingface/transformers) 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.

Suggest a related project

Related posts