armindadras Goto Github PK
Type: User
Company: CSIJRI
Bio: PhD in Civil-Earthquake Engineering | SHM | Soft Computing
Type: User
Company: CSIJRI
Bio: PhD in Civil-Earthquake Engineering | SHM | Soft Computing
Example for scene segmentation using blender
Code and data for the Agent-Based Wildfire Simulation Environment (ABWISE) model.
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
Algo Trading Research & Documentation
Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
ANYstructure is the ultimate steel structure design tool for plate fields and cylinders. Weight optimization for all structures with machine learning capabilities. Calculations are based on DNV standards and rules.
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
A curated list of awesome architecture search resources
A curated list of causal inference libraries, resources, and applications.
An index of algorithms for learning causality with data
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
The repository to showcase the best framework for tabular data - the Awesome CatBoost
Stacking the Bands of Landsat Multi-Spectral Image to create a single TIF file
Bayesian estimation of empirical seismic fragility models to account for ground motion uncertainty. Supplement to: https://doi.org/10.31224/3336
Notebooks about Bayesian methods for machine learning
Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Bayesian optimized physics-informed neural network for parameter estimation
Feature selection with Boruta and xgBoost plus feature importance analysis with Shap Explainer (Shapley values)
Python module for CEC 2017 single objective optimization test function suite.
Compendium of free ML reading resources
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.