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48 search results found

Machine Learning For Trading ⭐ 9,469

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

Synthetic data generation for tabular data

Ydata Synthetic ⭐ 1,201

Synthetic data generators for tabular and time-series data

Awesome Open Data Centric Ai ⭐ 630

Curated list of open source tooling for data-centric AI on unstructured data.

Synthdet ⭐ 330

SynthDet - An end-to-end object detection pipeline using synthetic data

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.

Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.

Peoplesanspeople ⭐ 273

Unity's privacy-preserving human-centric synthetic data generator

Tab Ddpm ⭐ 251

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

Benchmarking synthetic data generation methods.

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

Evoskeleton ⭐ 198

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

Str Fewer Labels ⭐ 166

Scene Text Recognition (STR) methods trained with fewer real labels (CVPR 2021)

Shape Detection ⭐ 158

🟣 Object detection of abstract shapes with neural networks

Realtabformer ⭐ 151

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

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.

Fast Rir ⭐ 122

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.

Robotics Object Pose Estimation ⭐ 116

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.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

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

Surround_vehicles_awareness ⭐ 86

Learn to map surrounding vehicles onto a bird's eye view of the scene.

Data augmentation using synthetic data for time series classification with deep residual networks

Deepecho ⭐ 75

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

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.

Game Feature Learning ⭐ 65

Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery, CVPR'18

Beyond Inet ⭐ 62

Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

Generative modeling of synthetic time series data and time series augmentations

Groove2groove ⭐ 48

Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"

A repository to quickly generate synthetic data and associated trojaned deep learning models

Carposedemo ⭐ 38

Real-time Mobile Car Pose Estimation with CoreML

Replicant ⭐ 36

replicAnt - generating annotated images of animals in complex environments with Unreal Engine

Supercaustics ⭐ 36

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

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

Awesome Synthetic Data ⭐ 28

📖 A curated list of resources dedicated to synthetic data

Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.

Pose_estimation ⭐ 25

Code for our work on pose-estimation using template 3D models.

Indoor Pet Detection ⭐ 22

A demo project for indoor pet detection using Unity generated synthetic data.

🔓 COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

Aiplayground ⭐ 21

A virtual environment that allows changing isolated features in the image

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

Nist Crc 2023 ⭐ 15

NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!

Rubric Sampling Public ⭐ 15

PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).

Deep Dmr ⭐ 13

Implementation of Deep Dirichlet Multinomial Regression in python + cython.

Casapose ⭐ 13

CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)

Traffic Sign Recognition Basd On Synthesised Training Data ⭐ 12

Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.

Smdd Synthetic Face Morphing Attack Detection Development Dataset ⭐ 11

Official repository of the paper Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

Catheter_detection ⭐ 9

Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data

Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.

Anthronet ⭐ 8

Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements

Simulatedradarwaveformgenerator ⭐ 7

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

Blenderset Addon ⭐ 7

Blenderset is tool for creating synthetic training data using blender. It can be used to create random scenes consisting of a real background image, ontop of which random humans and vehicles models are rendered with random lighting. In addition to the rendered images, annotations are generated in form of pixelwise instance-segmentations and bounding boxes.

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