muhmmadzs Goto Github PK
Name: Muhammad Zohaib Sarwar
Type: User
Company: @NTNU
Twitter: MZohaibSar
Location: Trondheim, Norway
Name: Muhammad Zohaib Sarwar
Type: User
Company: @NTNU
Twitter: MZohaibSar
Location: Trondheim, Norway
This repository is used to simulate the 3D vehicle-bridge-interaction introduced in our published paper.
Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging
Basic Example of Autoencoder model for bridge damage detection
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
AZ-104 Microsoft Azure Administrator
Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series
Closed-form Continuous-time Neural Networks
Mask and instance-based crack detection for Python 3, Keras and TensorFlow 1.x.x
"Deep Dive into AI with MLX and PyTorch" is an educational initiative designed to help anyone interested in AI, specifically in machine learning and deep learning, using Apple's MLX and Meta's PyTorch frameworks.
Training dataset for Crack Detection
DiffNet: A FEM based neural PDE solver package
Code examples for the TU Delft AI summer school
Deep Autoencoder Model for Bridge Damage Detection
Data Science for Dynamical System Course
Earthquake Responses prediction using Deep learning and Database
Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".
GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz
This repo contain the code for implementation of GNN autoencoder
Code accompanying my blog post: So, what is a physics-informed neural network?
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
Laplace approximations for Deep Learning.
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Code Repository for Liquid Time-Constant Networks (LTCs)
The official Meta Llama 3 GitHub site
Code for testing various M1 Chip benchmarks with TensorFlow.
Variational Autoencoders with Gaussian Mixture Latent Space
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization"
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
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.