Image augmentation for machine learning experiments.
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Updated
Apr 6, 2024 - Python
Image augmentation for machine learning experiments.
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Image augmentation library in Python for machine learning.
Data augmentation for NLP
Medical imaging toolkit for deep learning
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Official Implementation of 'Fast AutoAugment' in PyTorch.
PyTorch extensions for fast R&D prototyping and Kaggle farming
Official Pytorch implementation of CutMix regularizer
Image Test Time Augmentation with PyTorch!
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
High-performance Vision library in Python. Scale your research, not boilerplate.
Unofficial PyTorch Reimplementation of RandAugment.
DeltaPy - Tabular Data Augmentation (by @firmai)
Efficient Learning of Augmentation Policy Schedules
Long-Term Evolution Project of Reinforcement Learning
various cv tools, such as label tools, data augmentation, label conversion, etc.
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
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