shafnehal Goto Github PK
Name: Syed Hasib Akhter Faruqui (SHAF Nehal)
Type: User
Twitter: shafnehal
Location: Huntsville, Tx
Blog: www.shafnehal.com
Name: Syed Hasib Akhter Faruqui (SHAF Nehal)
Type: User
Twitter: shafnehal
Location: Huntsville, Tx
Blog: www.shafnehal.com
Keras implementation of 3dgan
A comprehensive list of awesome contrastive self-supervised learning papers.
A curated list of deep learning resources for computer vision
Bayes Net Toolbox for Matlab
A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Windows compile of bitsandbytes for use in text-generation-webui.
Toolkit for Continuous Time Bayesian Network Classifiers
This function returns the directed Laplacian matrix of any directed graph (DAG).
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Learning and Summarizing Graphical Models using Eigen Analysis of Graph Laplacian: An Application in Analysis of Multiple Chronic Conditions
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
An Intuitive Tutorial to Gaussian Processes Regression
Keeping all the necessary code snippets that I use generally. For personal use only.
A Python implementation of Kernel Principal Component Analysis (KPCA)
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 Material: Physics informed Machine Learning tutorial (pytorch)
Course Project (Fall 2016_UTSA_ML6973)
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
tracking medical datasets, with a focus on medical imaging
A collaborative educational initiative in computational science and engineering.
Examples implementing physics-informed neural networks (PINN) in Pytorch
Probabilistic Modeling Toolkit for Matlab/Octave.
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 ;)
Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary
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.
A multi-backend (TensorFlow, PyTorch, JAX, and NumPy) implementation of the Segment Anything model in Keras 3.0
This Repository is implementation of majority of Semantic Segmentation Loss Functions
personal webpage!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.