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Incorporating distribution of experts in order to better predict the future discovery of novel scientific connections
A practice project for implementing Adversarial Examples in Tensorflow
A list of recent papers about adversarial learning
AutoOED: Automated Optimal Experimental Design Platform
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
A curated list of awesome resources for camouflaged/concealed object detection (COD).
A collection of awesome image inpainting studies.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
A Paperlist and Related resources of Physical Adversarial Examples on Computer Vision
A Curated List of Language Models in Scientific Domains
Collect some resource about Segment Anything (SAM), including the latest papers and demo
A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.
Tracking and collecting papers/projects/others related to Segment Anything.
A curated list of self-driving laboratories that combine hardware automation and artificial intelligence to accelerate scientific discovery.
Famous Vision Language Models and Their Architectures
A curated list of papers for the transferability of adversarial examples
Bayesian Optimization and Design of Experiments
Bayesian Analysis with Python - Second Edition, published by Packt
My notes on "Bayesian Analysis with Python" (edition 2) by Osvaldo Martin.
Notebooks about Bayesian methods for machine learning
Finding the best parameters for any algorithm
Source code for Bayesian Optimization in Action, published by Manning
A Python implementation of global optimization with gaussian processes.
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Benchmarking
Starter Code for "Benchmarking Active Learning Strategies for Materials Optimization and Discovery" paper by Wang et al.
A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
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.