MachineLearning-QandAI-book
learnopencv
| MachineLearning-QandAI-book | learnopencv | |
|---|---|---|
| 3 | 6 | |
| 243 | 20,498 | |
| - | - | |
| 6.4 | 8.6 | |
| about 1 month ago | 3 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | - |
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MachineLearning-QandAI-book
- Machine Learning and AI Beyond the Basics Book
- Machine Learning Q and AI (Book by Sebastian Raschka)
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New book explaining more advanced concepts in machine learning, deep learning, and AI
A little note though: it's not a coding book; it's more focused on concepts. I do have supplementary materials with code examples for some chapters where it makes sense, though: https://github.com/rasbt/MachineLearning-QandAI-book
learnopencv
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YOLO-NAS Pose
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
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Bidirectional Encoder Representations from Transformers
Discover the transformative influence of BERT (Bidirectional-Encoder-Representations-from-Transformers) on Natural Language Processing! Repo: https://github.com/spmallick/learnopencv/tree/master/BERT-Bidirectional-Encoder-Representations-from-Transformers Read: https://learnopencv.com/bert-bidirectional-encoder-representations-from-transformers/
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Diving deeper into KerasCV!
Read: https://learnopencv.com/comparing-kerascv-yolov8-models/ Repo: https://github.com/spmallick/learnopencv/tree/master/Comparing-KerasCV-YOLOv8-Models-on-the-Global-Wheat-Data-2020
- write a program to convert RGB to HSV and LAB color space.
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Object detection with depth measurement using pre-trained models with OAK-D
Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth
- [Question] How does one get all available coordinates in a color marked contour?
What are some alternatives?
Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.
xojo-opencvc - Xojo-OpenCVC brings OpenCV 4.5+ to Xojo, using the OpenCV-C API
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results
fastMONAI - Simplifying deep learning for medical imaging
lane-detection-opencv - This is for detecting any lane in the road to identify the road map
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
vectordb-recipes - High quality resources & applications for LLMs, multi-modal models and VectorDBs
lava-dl - Deep Learning library for Lava