SHAFNehal

CFDPython

A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

DirectedGraphLaplacian

This function returns the directed Laplacian matrix of any directed graph (DAG).

MachineLearning_Project

Course Project (Fall 2016_UTSA_ML6973)

shafnehal.github.io

personal webpage!

vit-tensorflow

Vision Transformer Cookbook with Tensorflow

3dgan-keras

Keras implementation of 3dgan

EAGL-GS

Learning and Summarizing Graphical Models using Eigen Analysis of Graph Laplacian: An Application in Analysis of Multiple Chronic Conditions

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

copy_bitsandbytes-windows-webui

Windows compile of bitsandbytes for use in text-generation-webui.

DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

easy-few-shot-learning

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

Gaussian-Processes-Regression-Tutorial

An Intuitive Tutorial to Gaussian Processes Regression

helper_functions

Keeping all the necessary code snippets that I use generally. For personal use only.

Kernel-PCA

A Python implementation of Kernel Principal Component Analysis (KPCA)

Keto_Study_Saved_Model

This Repo will be used to save all the updated weights for the prediction model deployment. The weights will be updated everyweek with the same name, so that the connected notebook can be used to perform predictions.

Learning-PINNs-in-Pytorch-Physics-Informed-Machine-Learning

Learning Material: Physics informed Machine Learning tutorial (pytorch)

Manifold-Learning

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

medical-datasets

tracking medical datasets, with a focus on medical imaging

PINN-examples

Examples implementing physics-informed neural networks (PINN) in Pytorch

SAM4MIS

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

SAMCares

Powered by LLaMa2 of Meta we developed a RAG system that will assist students in their Study (A study buddy). The tool will be used to perform a trial to see if LLM helps student grasp course contents better than traditional means.

segment_anything_keras

A multi-backend (TensorFlow, PyTorch, JAX, and NumPy) implementation of the Segment Anything model in Keras 3.0

Semantic-Segmentation-Loss-Functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

TestRepo

TransUNet-tf

Tensorflow Implementation of TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Twin-Contrastive-Learning

Code for the paper "Twin Contrastive Learning for Online Clustering" (IJCV 2022)

uncertainty-deep-learning

UncertaintyInNeuralNetworks_Resources

Vision_Transformer_Keras

Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)