Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)

Local web application providing API and UI for image augmentation, based on the albumentations library

Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"

⚡ Blazing fast audio augmentation in Python, powered by GPU for high-efficiency processing in machine learning and audio analysis tasks.

This project focuses on optimizing overpass detection using YOLOv8. It involves training the model with a custom dataset created from synchronized dashcam footage and GPS data. The objective is to refine the model's accuracy in identifying overpasses, enabling precise determination of vehicle location and timing during these instances.

Explore and build ImgAug augmentations with Supervisely

State-of-the-art https://arxiv.org/abs/2302.09119 https://intranet.matematicas.uady.mx/journal/index.php?c=50

Repository for the paper "Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays"

UI to prepare training data for SmartTool inside Supervisely platform

our objective is to create a reliable dataset by employing data augmentation algorithms. Using this improved GoEmotion dataset, we trained a transformer model with the ability to understand emotions from a given text.

RuTransform: python framework for adversarial attacks and text data augmentation for Russian

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Aug Tool is a Python library available on PyPI that simplifies image data augmentation for machine learning tasks, compatible with TensorFlow, PyTorch, and the YOLO library.

2D facial landmarks detection with neural networks

Augmentation yolo format txt and images

Custom image data generator for TF Keras that supports the modern augmentation module albumentations

Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810

Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.

Runner Up Solution for the NeurIPS 2020 Competition - "Predicting Generalization in Deep Learning"