Pinned Repositories
awesome-deep-vision
A curated list of deep learning resources for computer vision
CFDPython
A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
CTBNCToolkit
Toolkit for Continuous Time Bayesian Network Classifiers
DirectedGraphLaplacian
This function returns the directed Laplacian matrix of any directed graph (DAG).
EAGL-GS
Learning and Summarizing Graphical Models using Eigen Analysis of Graph Laplacian: An Application in Analysis of Multiple Chronic Conditions
MachineLearning_Project
Course Project (Fall 2016_UTSA_ML6973)
neural-network-papers
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
vit-tensorflow
Vision Transformer Cookbook with Tensorflow
SHAFNehal's Repositories
SHAFNehal/CFDPython
A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
SHAFNehal/DirectedGraphLaplacian
This function returns the directed Laplacian matrix of any directed graph (DAG).
SHAFNehal/shafnehal.github.io
personal webpage!
SHAFNehal/vit-tensorflow
Vision Transformer Cookbook with Tensorflow
SHAFNehal/3dgan-keras
Keras implementation of 3dgan
SHAFNehal/EAGL-GS
Learning and Summarizing Graphical Models using Eigen Analysis of Graph Laplacian: An Application in Analysis of Multiple Chronic Conditions
SHAFNehal/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.
SHAFNehal/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
SHAFNehal/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
SHAFNehal/copy_bitsandbytes-windows-webui
Windows compile of bitsandbytes for use in text-generation-webui.
SHAFNehal/DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
SHAFNehal/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
SHAFNehal/Gaussian-Processes-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
SHAFNehal/helper_functions
Keeping all the necessary code snippets that I use generally. For personal use only.
SHAFNehal/Kernel-PCA
A Python implementation of Kernel Principal Component Analysis (KPCA)
SHAFNehal/Learning-PINNs-in-Pytorch-Physics-Informed-Machine-Learning
Learning Material: Physics informed Machine Learning tutorial (pytorch)
SHAFNehal/Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
SHAFNehal/medical-datasets
tracking medical datasets, with a focus on medical imaging
SHAFNehal/PINN-examples
Examples implementing physics-informed neural networks (PINN) in Pytorch
SHAFNehal/SAM4MIS
Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary
SHAFNehal/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.
SHAFNehal/segment_anything_keras
A multi-backend (TensorFlow, PyTorch, JAX, and NumPy) implementation of the Segment Anything model in Keras 3.0
SHAFNehal/Semantic-Segmentation-Loss-Functions
This Repository is implementation of majority of Semantic Segmentation Loss Functions
SHAFNehal/Swin-Transformer-TF
Tensorflow implementation of Swin Transformer model.
SHAFNehal/TestRepo
SHAFNehal/TransUNet-tf
Tensorflow Implementation of TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
SHAFNehal/Twin-Contrastive-Learning
Code for the paper "Twin Contrastive Learning for Online Clustering" (IJCV 2022)
SHAFNehal/uncertainty-deep-learning
SHAFNehal/UncertaintyInNeuralNetworks_Resources
SHAFNehal/Vision_Transformer_Keras
Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)