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Fabric is an open-source framework for augmenting humans using AI. It provides a modular system 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
Image augmentation for machine learning experiments.
🎛 🔊 A Python library for audio.
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 processing for AI applications.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Official Implementation of 'Fast AutoAugment' in PyTorch.
PyTorch extensions for fast R&D prototyping and Kaggle farming
Official Pytorch implementation of CutMix regularizer
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Image Test Time Augmentation with PyTorch!
High-performance Vision library in Python. Scale your research, not boilerplate.
Unofficial PyTorch Reimplementation of RandAugment.
automatic color-grading
DeltaPy - Tabular Data Augmentation (by @firmai)
Efficient Learning of Augmentation Policy Schedules
Long-Term Evolution Project of Reinforcement Learning