Code for Machine Learning for Algorithmic Trading, 2nd edition.
-
Updated
Aug 18, 2024 - Jupyter Notebook
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Synthetic Patient Population Simulator
A tool that uses advanced Monte Carlo simulations and Turbit parallel processing to create possible Bitcoin prediction scenarios.
SDG is a specialized framework designed to generate high-quality structured tabular data.
A procedural Blender pipeline for photorealistic training image generation
UnrealCV: Connecting Computer Vision to Unreal Engine
Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
Synthetic data generation for tabular data
Conditional GAN for generating synthetic tabular data.
Synthetic data generators for tabular and time-series data
This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
🟣 Object detection of abstract shapes with neural networks
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
The Declarative Data Generator
A library to model multivariate data using copulas.
Generative adversarial training for generating synthetic tabular data.
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Synthetic Minority Over-Sampling Technique for Regression
Add a description, image, and links to the synthetic-data topic page so that developers can more easily learn about it.
To associate your repository with the synthetic-data topic, visit your repo's landing page and select "manage topics."