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.
A procedural Blender pipeline for photorealistic training image generation
Synthetic Patient Population Simulator
Synthetic Data Generation for tabular, relational and time series data.
The Declarative Data Generator
Synthetic data generators for tabular and time-series data
Get Deinked!!
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.
A library to model multivariate data using copulas.
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
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"
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
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