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

  • AI-For-Beginners

    12 Weeks, 24 Lessons, AI for All!

    • Project mention: FREE AI Course By Microsoft: ZERO to HERO! 🔥 | dev.to | 2024-03-18

    🔗 https://github.com/microsoft/AI-For-Beginners 🔗 https://microsoft.github.io/AI-For-Beginners/

  • learnopencv

    Learn OpenCV : C++ and Python Examples

    • Project mention: YOLO-NAS Pose | /r/pytorch | 2023-11-16

    Deci's YOLO-NAS Pose: Redefining Pose Estimation! Elevating healthcare, sports, tech, and robotics with precision and speed. Github link and blog link down below! Repo: https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS-Pose

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • 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.

  • open_clip

    An open source implementation of CLIP.

    • Project mention: A History of CLIP Model Training Data Advances | dev.to | 2024-03-13

    While OpenAI’s CLIP model has garnered a lot of attention, it is far from the only game in town—and far from the best! On the OpenCLIP leaderboard, for instance, the largest and most capable CLIP model from OpenAI ranks just 41st(!) in its average zero-shot accuracy across 38 datasets.

  • 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.

  • introtodeeplearning

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

  • 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

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  • machine_learning_complete

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

  • super-gradients

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

    • Project mention: Zero-Shot Prediction Plugin for FiftyOne | dev.to | 2024-03-13

    Most computer vision models are trained to predict on a preset list of label classes. In object detection, for instance, many of the most popular models like YOLOv8 and YOLO-NAS are pretrained with the classes from the MS COCO dataset. If you download the weights checkpoints for these models and run prediction on your dataset, you will generate object detection bounding boxes for the 80 COCO classes.

  • 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.

    • Project mention: Supervision: Reusable Computer Vision | news.ycombinator.com | 2024-03-24

    Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).

    We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.

    [1] https://github.com/roboflow/inference

    [2] https://github.com/roboflow/notebooks

    [3] https://inference.roboflow.com/foundation/about/

    [4] https://docs.roboflow.com/deploy/hosted-api

  • monodepth2

    [ICCV 2019] Monocular depth estimation from a single image

  • simclr

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

  • covid-chestxray-dataset

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

  • ml-course

    Open Machine Learning course

    • Project mention: ml-course: NEW Courses - star count:1339.0 | /r/algoprojects | 2023-11-06

  • 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

  • openvino_notebooks

    📚 Jupyter notebook tutorials for OpenVINO™

    • Project mention: FLaNK AI Weekly 18 March 2024 | dev.to | 2024-03-18

  • 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

  • Face-Mask-Detection

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

  • 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.

  • 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.

  • COVID-CT

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

  • SaaSHub

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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).

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 AI-For-Beginners 30,927
2 learnopencv 20,363
3 DeepLearningExamples 12,607
4 open_clip 8,391
5 lama 7,165
6 introtodeeplearning 6,841
7 mmagic 6,570
8 machine_learning_complete 4,501
9 super-gradients 4,322
10 notebooks 4,134
11 monodepth2 3,974
12 simclr 3,927
13 covid-chestxray-dataset 2,958
14 ml-course 2,039
15 pythoncode-tutorials 1,996
16 DIS 1,965
17 openvino_notebooks 1,957
18 pytorch-segmentation 1,564
19 Face-Mask-Detection 1,501
20 ILearnDeepLearning.py 1,312
21 ktrain 1,210
22 transformers-interpret 1,207
23 COVID-CT 1,062

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