Pinned Repositories
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
high_res_ct_template
High Resolution CT Template Paper and Images
Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
MATLAB-Deep-Learning-Model-Hub
Discover pretrained models for deep learning in MATLAB
MATLABExpo2022PocketAIandIoT
In this hands-on and interactive workshop, you will learn how to use sensors, AI, and IoT to build a smart fitness tracker using your own mobile device. Learn the basics of sensors, AI, machine learning, and IoT required for building this application. We will demystify the buzz around sensor analytics, machine learning, and IoT and show you how easy it is to build smart wearables. You will be energized and engaged while doing hands-on exercises and leave excited about IoT and wearables and taking up challenging projects in this domain. Discover how MATLAB Online™, MATLAB Drive™, ThingSpeak™, and machine learning algorithms (knn) are seamlessly integrated and used within MATLAB Mobile™. To participate in this workshop, you will need a MathWorks account (create MathWorks account).
practical-python-for-data-professionals
This is a repository for the LinkedIn Learning course Practical Python for Data Professionals
SDFilter
Code Release for "Static and Dynamic Guidance Filtering" CVPR 2015.
simpleICP
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
michalm248's Repositories
michalm248/VM-UNet
(ARXIV24) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
michalm248/practical-python-for-data-professionals
This is a repository for the LinkedIn Learning course Practical Python for Data Professionals
michalm248/MATLABExpo2022PocketAIandIoT
In this hands-on and interactive workshop, you will learn how to use sensors, AI, and IoT to build a smart fitness tracker using your own mobile device. Learn the basics of sensors, AI, machine learning, and IoT required for building this application. We will demystify the buzz around sensor analytics, machine learning, and IoT and show you how easy it is to build smart wearables. You will be energized and engaged while doing hands-on exercises and leave excited about IoT and wearables and taking up challenging projects in this domain. Discover how MATLAB Online™, MATLAB Drive™, ThingSpeak™, and machine learning algorithms (knn) are seamlessly integrated and used within MATLAB Mobile™. To participate in this workshop, you will need a MathWorks account (create MathWorks account).
michalm248/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
michalm248/simpleICP
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
michalm248/MATLAB-Deep-Learning-Model-Hub
Discover pretrained models for deep learning in MATLAB
michalm248/high_res_ct_template
High Resolution CT Template Paper and Images
michalm248/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
michalm248/SDFilter
Code Release for "Static and Dynamic Guidance Filtering" CVPR 2015.
michalm248/wavelab850
copy of Stanford's wavelab matlab library for dependent projects www-stat.stanford.edu/~wavelab/