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33 search results found

Synthetic data generation for tabular data

Fedprox ⭐ 465

Federated Optimization in Heterogeneous Networks (MLSys '20)

Surreal ⭐ 451

Learning from Synthetic Humans, CVPR 2017

Iros20 6d Pose Tracking ⭐ 299

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Bmw Labeltool Lite ⭐ 288

This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.

Doppelganger ⭐ 259

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Benchmarking synthetic data generation methods.

Datasynthesizer ⭐ 215

Clustering Datasets ⭐ 206

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.

Evoskeleton ⭐ 198

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

Generative adversarial training for generating synthetic tabular data.

Datagene ⭐ 170

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Shape Detection ⭐ 158

🟣 Object detection of abstract shapes with neural networks

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

DataHub - Synthetic data library

dataset for ECCV 2020 "Motion Capture from Internet Videos"

Sordi Ai Evaluation Gui ⭐ 68

This repository allows you to evaluate a trained computer vision model and get general information and evaluation metrics with little configuration.

Synthetic Data Tutorial ⭐ 66

A hands-on tutorial showing how to use Python to do anonymisation with synthetic data

Transe Pytorch ⭐ 63

Implementation of TransE model in PyTorch.

Generative modeling of synthetic time series data and time series augmentations

Scigraphqa ⭐ 58

Bodies At Rest ⭐ 43

Code + Data for CVPR 2020 oral paper "Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data."

Obman_render ⭐ 43

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

Synthetic Data Gen ⭐ 39

Various methods for generating synthetic data for data science and ML

Supercaustics ⭐ 36

Real-time, open-source simulation of transparent objects for deep learning applications

Three Filters To Normal ⭐ 34

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

Foggysynscapes ⭐ 30

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

Recurrent Defocus Deblurring Synth Dual Pixel ⭐ 30

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. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring re

Gated2depth ⭐ 29

SDNist: Benchmark data and evaluation tools for data synthesizers.

Robust PCA in Python

Badmedicine ⭐ 23

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

Multi Task Defocus Deblurring Dual Pixel Nimat ⭐ 20

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 blurry input image improves the network’s ability to learn to deblur the image. Our experiments show this multi-task strategy achieves +1dB PSNR improvem

Synthpop ⭐ 14

Python implementation of the R package synthpop.

Rocog V2 ⭐ 11

RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

Datasynthesis ⭐ 9

DataSynthesis Platform - Synthetic data building, generating platform for multiple business types

Impostor.jl ⭐ 8

A highly versatile synthetic data generator

Cvdriskdata ⭐ 8

R package for Cardiovascular Risk Dataset and Data generation script

Mask_rcnn_on_ycb_video_dataset ⭐ 7

Use images of the YCB Video Dataset to train a Mask RCNN model

Simulatedradarwaveformgenerator ⭐ 7

A software tool that generates simulated radar signals and creates RF datasets for developing and testing machine/deep learning detection algorithms.

"A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling" AAAI2018 Paper

Winsyn_metadata ⭐ 5

Windows. Lots of windows. Architectural dataset of 75k photos and 20k renders of windows.

Handwriting Biometrics ⭐ 5

Human or Machine? It Is Not What You Write, But How You Write It

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