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.
π π A Python library for audio.
A system for quickly generating training data with weak supervision
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A data augmentations library for audio, image, text, and video.
Data augmentation for NLP
Medical imaging processing for AI applications.
π¨ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
A framework for data augmentation for 2D and 3D image classification and segmentation
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
High-performance Vision library in Python. Scale your research, not boilerplate.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper.
The official repo of DriveVLA-M0: Failure-Aware Memory Augmentation for Autonomous Driving (ACM MM2026)