Jupyter Notebook Computer Vision

Open-source Jupyter Notebook projects categorized as Computer Vision
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Topics: #Deep Learning #Machine Learning #Pytorch #Python #Tensorflow
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Top 23 Jupyter Notebook Computer Vision Projects

  • learnopencv

    Learn OpenCV : C++ and Python Examples

    Project mention: write a program to convert RGB to HSV and LAB color space. | /r/ITprojects | 2023-09-08

  • AI-For-Beginners

    12 Weeks, 24 Lessons, AI for All!

    Project mention: Artificial Intelligence for Beginners – A Curriculum | news.ycombinator.com | 2023-06-13

    This is a good summary of most topics in AI/ML. The only thing that it seems to by missing (or maybe I'm just not seeing it) is a section on generative AI for images and video (DALL-E, Stable Diffusion etc).

    They do cover LLMs which is generative AI for text though: https://github.com/microsoft/AI-For-Beginners/blob/main/less...

  • Mergify

    Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.

  • DeepLearningExamples

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  • introtodeeplearning

    Lab Materials for MIT 6.S191: Introduction to Deep Learning

  • open_clip

    An open source implementation of CLIP.

    Project mention: COMFYUI SDXL WORKFLOW INBOUND! Q&A NOW OPEN! (WIP EARLY ACCESS WORKFLOW INCLUDED!) | /r/StableDiffusion | 2023-07-10

    in the modal card it says: pretrained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L).

  • lama

    🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

    Project mention: Can someone please help me with inpainting settings to remove the subject from this image? I want to rebuild as much of the original background as possible. | /r/StableDiffusion | 2023-07-03

    You could try to use ControlNet inpaint+lama locally, but results aren't as good in my experience. Or you could try local install of lama directly, but the setup process isn't very smooth.

  • mmagic

    OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

    Project mention: More than Editing, Unlock the Magic! | /r/agi | 2023-04-27

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • machine_learning_complete

    A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

  • monodepth2

    [ICCV 2019] Monocular depth estimation from a single image

    Project mention: Calculation of an absolute depth map from multiple images or videos. | /r/computervision | 2022-10-26

  • simclr

    SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

    Project mention: Positive and Negative Sampling Strategies for Representation Learning in Semantic Search | /r/LanguageTechnology | 2023-03-25

    For visual representations, you could look into SimCLR and MoCo. https://github.com/google-research/simclr https://github.com/facebookresearch/moco

  • super-gradients

    Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

    Project mention: FLaNK Stack for 15 May 2023 | dev.to | 2023-05-15

  • notebooks

    Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. (by roboflow)

    Project mention: Roboflow Notebooks: 30+ tutorials on using SOTA models and vision techniques | /r/computervision | 2023-08-31

    We (the Roboflow open source team) actively write open source Google Colab notebooks showing how to use new SOTA models. Our library covers SAM, CLIP, Detectron2, YOLOv8, RTMDet, DINOv2, and more. These notebooks helped me cross the chasm from "how do I use X model?" to being able to both write and understand inference code.

  • covid-chestxray-dataset

    We are building an open database of COVID-19 cases with chest X-ray or CT images.

  • pythoncode-tutorials

    The Python Code Tutorials

  • DIS

    This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

    Project mention: [D] What is the current best, trainable method for image segmentation? | /r/MachineLearning | 2023-06-08

    Hello, I had some succes using this repo : https://github.com/xuebinqin/DIS

  • Face-Mask-Detection

    Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

  • pytorch-segmentation

    :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

    Project mention: Any luck training Segnet? | /r/learnmachinelearning | 2023-05-25

    So I have read the paper on segnet and understood its architechture, and how the corresponding model has been written on the segnet.py file. I have a dataset and segmentation masks (in PNG). I came across the code given in this repo: https://github.com/yassouali/pytorch-segmentation

  • openvino_notebooks

    📚 Jupyter notebook tutorials for OpenVINO™

    Project mention: Intel AI built into CPU's, is it at all useful for text or image generation? What is it? | /r/LocalLLaMA | 2023-07-07

    yeah via open vino https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/225-stable-diffusion-text-to-image/README.md

  • ml-course

    Open Machine Learning course

    Project mention: ml-course: NEW Courses - star count:938.0 | /r/algoprojects | 2022-11-26

  • ILearnDeepLearning.py

    This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

    Project mention: Use YOLOv5 tensorflow.js models to speed up annotation | /r/deeplearning | 2022-10-04

    makesense.ia is certainly the largest one. I just recently started https://github.com/SkalskiP/yolov5js with the aim to make it much easier for frontend developers without computer vision background to use object detection in their projects. Apart from that, I have https://github.com/SkalskiP/ILearnDeepLearning.py which is a repository containing examples related to my blog posts on Medium https://medium.com/@piotr.skalski92.

  • ktrain

    ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

  • transformers-interpret

    Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

    Project mention: [P] XAI Recipes for the HuggingFace 🤗 Image Classification Models | /r/MachineLearning | 2022-10-18

    Very cool, I like seeing this. I also noticed the transformers interpret package has released support for an image classification explainer: https://github.com/cdpierse/transformers-interpret

  • COVID-CT

    COVID-CT-Dataset: A CT Scan Dataset about COVID-19

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

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). The latest post mention was on 2023-09-08.

Jupyter Notebook Computer Vision related posts

Index

What are some of the best open-source Computer Vision projects in Jupyter Notebook? This list will help you:

Project Stars
1 learnopencv 19,265
2 AI-For-Beginners 17,542
3 DeepLearningExamples 11,480
4 introtodeeplearning 6,528
5 open_clip 6,226
6 lama 6,181
7 mmagic 5,755
8 machine_learning_complete 4,295
9 monodepth2 3,760
10 simclr 3,681
11 super-gradients 3,326
12 notebooks 3,120
13 covid-chestxray-dataset 2,934
14 pythoncode-tutorials 1,814
15 DIS 1,580
16 Face-Mask-Detection 1,473
17 pytorch-segmentation 1,437
18 openvino_notebooks 1,405
19 ml-course 1,271
20 ILearnDeepLearning.py 1,265
21 ktrain 1,175
22 transformers-interpret 1,103
23 COVID-CT 1,045

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