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We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
Generative adversarial networks for Network Intrusion Benchmark datasets
Generating Tabular Synthetic Data using State of the Art GAN architecture
Genetic Algorithm Implementation in Python using NumPy
Graph based gcForest for master thesis,ongoing project
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices
Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)
An OpenAI gym environment for ad serving algorithms
Hadoop docker image
Hyperparameter tuning And Neural Architecture Search in Federated Learning
This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset
Pure Java genetic algorithm for bin packing problem. Based on idea from article: http://www.codeproject.com/Articles/633133/ga-bin-packing
Continuous-time Hidden Markov Model
This script implements the hybrid of PSO and GWO optimization algorithm.
Final project for the university course 'Quantum Computer Programming', held in the academic year 2022/2023. The purpose of this project is to investigate the structure of a hybrid neural network. To do this, I made use of the 'qiskit' library, which allows useful tools for constructing a classical-quantum neural network.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Imbalanced Classification with Deep Reinforcement Learning
Deep Learning Specialization (Prof. Andrew Ng): Course 2
IMT Atlantique edX course Queuing Theory: from Markov Chains to Multi-Server Systems
Fit interpretable models. Explain blackbox machine learning.
Machine Learning Interpretability - LIME e SHAP
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.