Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Updated
Mar 5, 2023 - Jupyter Notebook
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Mimesis is a robust data generator for Python, capable of rapidly producing large volumes of synthetic data for various use cases.
A procedural Blender pipeline for photorealistic training image generation
Synthetic Patient Population Simulator
Synthetic data generation for tabular data
The Declarative Data Generator
Synthetic data generators for tabular and time-series data
Conditional GAN for generating synthetic tabular data.
A curated list of awesome projects which use Machine Learning to generate synthetic content.
Curated list of open source tooling for data-centric AI on unstructured data.
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
A library to model multivariate data using copulas.
SynthDet - An end-to-end object detection pipeline using synthetic data
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Random dataframe and database table generator
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