49 Open source projects that are alternatives of or similar to synth

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

A powerful, feature-rich, random test data generator.

Synthetic Data Generation for mixed-type, multivariate time series.

Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Example repository showing how to utilise k6 and faker to load test using generated data

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Create random test data for JPA/Hibernate entities.

Synthetic Minority Over-Sampling Technique for Regression

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

Ranger is contextual data generator used to make sensible data for integration tests or to play with it in the database

Generate random data sets

Random dataframe and database table generator

The Declarative Data Generator

A library to model multivariate data using copulas.

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

Neuralyzer is a library and a command line tool to anonymize databases (by updating existing data or populating a table with fake data)

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Data generation and property-based testing for Elixir. 🔮

Generate strings that match a given regular expression

Deep Convolutional Neural Networks for Musical Source Separation

MockNeat is a Java 8+ library that facilitates the generation of arbitrary data for your applications.

Synthetic Data Generation for tabular, relational and time series data.

Conditional GAN for generating synthetic tabular data.

A browser extension that fills registration forms with randomly but consistently generated fake data.

Data generator command-line tool and library. Create JSON, CSV, XML data from templates.

Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.

Faker is a Python package that generates fake data for you.

A Groovy DSL for creating test data via JPA

Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

Augmenting Room Impulse Response

[cvpr19] Code to generate images from the ObMan dataset, synthetic renderings of hands holding objects (or hands in isolation)

Generation of Synthetic Populations Library

Metrics to evaluate quality and efficacy of synthetic datasets.

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)

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.

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

Evaluate real and synthetic datasets with each other

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

Synthetic data for computer vision. An open source toolkit using Blender and Python.

Benchmarking synthetic data generation methods.

The Gretel Python Client allows you to interact with the Gretel REST API.