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Top 23 Jupyter Notebook Computer Vision Projects
Learn OpenCV : C++ and Python ExamplesProject mention: write a program to convert RGB to HSV and LAB color space. | /r/ITprojects | 2023-09-08
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...
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.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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 Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022Project 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.
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
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.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
[ICCV 2019] Monocular depth estimation from a single imageProject mention: Calculation of an absolute depth map from multiple images or videos. | /r/computervision | 2022-10-26
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised LearnersProject 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
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
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.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
The Python Code Tutorials
This is the repo for our new project Highly Accurate Dichotomous Image SegmentationProject 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 system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
: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
📚 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
Open Machine Learning courseProject mention: ml-course: NEW Courses - star count:938.0 | /r/algoprojects | 2022-11-26
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://email@example.com.
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
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-Dataset: A CT Scan Dataset about COVID-19
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.
Jupyter Notebook Computer Vision related posts
write a program to convert RGB to HSV and LAB color space.
1 project | /r/ITprojects | 8 Sep 2023
Roboflow Notebooks: 30+ tutorials on using SOTA models and vision techniques
1 project | /r/computervision | 31 Aug 2023
Notebooks: How to tutorials for computer vision models and techniques
1 project | news.ycombinator.com | 30 Aug 2023
Intel AI built into CPU's, is it at all useful for text or image generation? What is it?
1 project | /r/LocalLLaMA | 7 Jul 2023
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.
1 project | /r/StableDiffusion | 3 Jul 2023
Is Nicholas Renotte a good guide for a person who knows nothing about ML?
1 project | /r/learnmachinelearning | 27 Jun 2023
AI For Beginners
1 project | /r/CharruaDevs | 13 Jun 2023
A note from our sponsor - Mergify
blog.mergify.com | 25 Sep 2023
What are some of the best open-source Computer Vision projects in Jupyter Notebook? This list will help you: