amitashnanda

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

amitashnanda.github.io

Colon_Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Color-Classification-and-Recycling-Bin-Detection

Developed a color classification model and drawing the concept from later to detect recycle bins using Gaussian Discriminant Analysis

model-compression-technique-for-on-device-learning

Researching on developing more sophisticated pruning and quantization technique for characterization of biases for the compressed model.

OrgaTuring-Accelerating-Organoid-Discovery-with-visual-AI

OrgaTuring is a novel deep-learning approach to investigating organoids and designing a real-time accurate medical device. The CNN-based interpretable deep-learning model facilitates the real-time location, quantification, tracking, and classification of organoids from 2D and 3D images. This research will serve as a stepping stone to creating smart point-of-care devices equipped with mobile healthcare.

Particle-Filter-and-Visual-Inertial-Simultaneous-Localization-and-Mapping

Implemented visual-inertial SLAM using an extended Kalman filter using IMU and stereo camera measurements from an autonomous car. First performed IMU localization via EKF prediction, then landmark mapping via EKF update.

Plant-Sustainability-Enhancement-Using-UAV

Robot_Testing_Framework

Robot Testing Platform to test robots in real world scenario

TinyML-with-STM32-NUCLEO-L432KC

This repository shows the design of a light weight CNN based deep-learning algorithm that discriminates life-threatening ventricular arrhythmias (reason for sudden cardiac death) from IEGM recordings and deployed on STM32 NUCLEO-L432KC

amitashnanda/Particle-Filter-and-Visual-Inertial-Simultaneous-Localization-and-Mapping

Implemented visual-inertial SLAM using an extended Kalman filter using IMU and stereo camera measurements from an autonomous car. First performed IMU localization via EKF prediction, then landmark mapping via EKF update.

amitashnanda/Color-Classification-and-Recycling-Bin-Detection

Developed a color classification model and drawing the concept from later to detect recycle bins using Gaussian Discriminant Analysis

amitashnanda/model-compression-technique-for-on-device-learning

Researching on developing more sophisticated pruning and quantization technique for characterization of biases for the compressed model.

amitashnanda/Plant-Sustainability-Enhancement-Using-UAV

amitashnanda/3d-radnet

Transfer learning with medical images

amitashnanda/amitashnanda

amitashnanda/amitashnanda.github.io

amitashnanda/OrgaTuring-Accelerating-Organoid-Discovery-with-visual-AI

OrgaTuring is a novel deep-learning approach to investigating organoids and designing a real-time accurate medical device. The CNN-based interpretable deep-learning model facilitates the real-time location, quantification, tracking, and classification of organoids from 2D and 3D images. This research will serve as a stepping stone to creating smart point-of-care devices equipped with mobile healthcare.

amitashnanda/Robot_Testing_Framework

Robot Testing Platform to test robots in real world scenario

amitashnanda/TinyML-with-STM32-NUCLEO-L432KC

This repository shows the design of a light weight CNN based deep-learning algorithm that discriminates life-threatening ventricular arrhythmias (reason for sudden cardiac death) from IEGM recordings and deployed on STM32 NUCLEO-L432KC

amitashnanda/anemia-detection

amitashnanda/BioGPT

amitashnanda/chart-gpt

AI tool to build charts based on text input

amitashnanda/Circadian-Rhythm-driven-Alertness-Investigation

amitashnanda/easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

amitashnanda/FL-Reading-List

Federated Learning Reading List and Notes

amitashnanda/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

amitashnanda/Impact-of-Feature-Correlation-on-Feature-Importance-using-SHAP

Detail Analysis to know if Shapley interaction values capture information about feature correlations and if the interaction values can be used to obtain a more accurate feature ranking.

amitashnanda/IntelNeuromorphicDNSChallenge

Intel Neuromorphic DNS Challenge

amitashnanda/Interpretability-in-ChexNet

Implemented CNN-based Deep-Learning model(s) to detect pneumonia from chest X-rays, also Incorporated model interpretability using Sample Handling and Analysis Plan (SHAP). Then used the above metrics to quantify training data based on quality for better model performance and reliability.

amitashnanda/Medical-Image-Analysis-GUI

amitashnanda/Mixed_Precision_Quantization

amitashnanda/ML-Course-Notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

amitashnanda/python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

amitashnanda/shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

amitashnanda/skin_cancer_classification

amitashnanda/t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

amitashnanda/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

amitashnanda/tinyml_contest2022_demo_example

amitashnanda/Ultrasound-US-Modulations

Ultrasound (US) Modulations: Effects of Changing US Transducer Probe & Reconstruction Parameters on Sound Intensity and Image Quality