Pinned Repositories
auc-data-challenge-23
Rank #1 AUC Morgan-Stanley Data Challenge 23
AUC_Python_Workshop_2022
This repository contains all the materials for the 4-Day Beginner Python Academy that I run for AUC faculty members during the summer of 2022. During this course, faculty members are introduced to the fundamentals of Python programming and its applications in data analysis and visualization using Numpy, Pandas, Matplotlib, and Seaborn.
Brief-Introduction-to-Deep-Neural-Networks-Mathematical-Foundations
Bystander-Effect-CAR-T-Modeling
cancer_immunology
This repo contains material from the Mathematical Modelling class I am teaching in Spelman College, Math Department. The class focuses on fundemantal mathematical oncology concepts. In particlar, we study **mathematical modelling in tumor immunology**, including newly emerging CART-cell therapies
Diffusion-Tensor-Imaging-DTI-with-3D-Slicer
Displaying DTI data scalar measurements and tumor segmentation with 3D Slicer
hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
Intro2-Deep-Learning-with-Pytorch
This repository contains of resources from my Introduction to Deep Learning with Python class I offer in Spelman College. Inside, you'll find a variety of materials, including lectures, tutorials, and code examples
Rise-of-Transfer-Learning
you will find brief code implementations of some of the latest developments in AI, including Stable Diffusion, Whisper, YOLO and HuggigFace Transformers
TrackingWalkers-YOLOv8
This repository includes all the datasets, codes, and other resources discussed in our paper regarding walking droplets and granular flow experiments
erkara's Repositories
erkara/Rise-of-Transfer-Learning
you will find brief code implementations of some of the latest developments in AI, including Stable Diffusion, Whisper, YOLO and HuggigFace Transformers
erkara/TrackingWalkers-YOLOv8
This repository includes all the datasets, codes, and other resources discussed in our paper regarding walking droplets and granular flow experiments
erkara/Intro2-Deep-Learning-with-Pytorch
This repository contains of resources from my Introduction to Deep Learning with Python class I offer in Spelman College. Inside, you'll find a variety of materials, including lectures, tutorials, and code examples
erkara/auc-data-challenge-23
Rank #1 AUC Morgan-Stanley Data Challenge 23
erkara/AUC_Python_Workshop_2022
This repository contains all the materials for the 4-Day Beginner Python Academy that I run for AUC faculty members during the summer of 2022. During this course, faculty members are introduced to the fundamentals of Python programming and its applications in data analysis and visualization using Numpy, Pandas, Matplotlib, and Seaborn.
erkara/Brief-Introduction-to-Deep-Neural-Networks-Mathematical-Foundations
erkara/Bystander-Effect-CAR-T-Modeling
erkara/cancer_immunology
This repo contains material from the Mathematical Modelling class I am teaching in Spelman College, Math Department. The class focuses on fundemantal mathematical oncology concepts. In particlar, we study **mathematical modelling in tumor immunology**, including newly emerging CART-cell therapies
erkara/Diffusion-Tensor-Imaging-DTI-with-3D-Slicer
Displaying DTI data scalar measurements and tumor segmentation with 3D Slicer
erkara/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
erkara/Intel-Image-Classification-with-Pytorch
erkara/MyFEMuS
erkara/Pytorch_Image_Classification_with_Optuna
erkara/Pytorch_Image_Segmentation_Drone_Images
erkara/Spelman_College_Machine_Learning_Group
This repo contains the notebooks regarding our deep learning based image recognition projects with my students in Spelman College
erkara/Py4SciComp
Python for Scientific Computing (FEniCS, PyTorch, VTK)
erkara/StructurePreservingNN
Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).