Welcome to the AI Assets Catalog! Here you can browse, search and download all the assets currently indexed in the AI-on-Demand platform, including AI libraries, datasets, containers, and more. You are welcome to publish your own AI assets here! To do so, log in in to the platform, go to your dashboard and use the Submit new content button to access the submission forms.
Audio Reuse Detection
Detect perceptually identical audio segments/matches among audio items or streams.
Diffprivlib: The IBM Differential Privacy Library
Diffprivlib is a general-purpose library for experimenting with, investigating and developing applications in, differential privacy.
Computer Vision
Our dream to make machines sense and perceive (notably see) comes true: nowadays Computer Vision enables diverse applications: - Autonomous Systems (cars, drones, vessels) Perception, - Robotics Perception and Control, - Intelligent Human-Machine Int...
Social Impact of AI Science and Engineering: Information Filtering and Disinformation
Our world is increasingly complex, in terms of both its material components (e.g., smart cities, infrastructure) and its social processes (e.g., social media outreach). Both individual humans and entire societies find it difficult to cope with world compl...
Few-Shot Object Detection (FsDet) - Training tools for custom data
This is a fork of Few-shot Object Detection (FsDet) method, adding an easy to use tool for training on custom datasets
AdaFamily optimizer
AdaFamily: A family of Adam-like adaptive gradient methods for training neural networks
AI Science and Engineering: A new scientific discipline?
Is “AI Science and Engineering” an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe ...
Playable Video Generation
Novel framework for Playable Video Generation that is trained in a self-supervised manner on a large dataset of unlabelled videos. We employ an encoder-decoder architecture where the predicted action labels act as bottleneck. The network is constrained to...
Neighborhood Contrastive Learning for Novel Class Discovery
A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data. The Neighborhood Contrastive Learning (NCL) framework effectively leverages the local...