Hugging Face Neuron Deep Learning AMI (DLAMI) makes it easy to use Amazon EC2 Inferentia & Trainium instances for training and inference of Hugging Face Transformers and Diffusers models, offering up to 50% cost-to-train savings over comparable GPU-based DLAMIs.
YOLOv3 is a powerful network for fast and accurate object detection, powered by GluonCV.
DeepScan is a web-based tool for analyzing video and audio for user-defined suggestive material. It uses AI/ML to quickly scan and provide a list of marked events. Markers can be reviewed for deletion, retention, or adding comments, and exported as XML for use with popular editing programs.
An open-source toolkit for optimizing and deploying deep learning models. Boost your AI deep-learning inference performance!
This product has charges associated with it for seller support. The Deep Learning AMI (Amazon Linux 2) provides a pre-configured environment for developers and data scientists to accelerate their deep learning projects. With a wide array of popular frameworks like TensorFlow, PyTorch, and MXNet included, users can effortlessly build, train, and deploy machine learning models. This AMI supports GPU instances, enabling high-performance computing for complex tasks and large datasets. The comprehensive documentation and sample notebooks facilitate a smooth onboarding experience, making it ideal for both beginners and experts. Perfect for research in AI, academic projects, or production-level applications, this AMI empowers users to innovate faster in the cloud while leveraging the robust scalability and flexibility of AWS infrastructure.
This product has charges associated with it for seller support. The Deep Learning AMI DLAMI Ubuntu 18 is a powerful and flexible Amazon Machine Image designed for deep learning and AI development in the cloud. Pre-configured with popular frameworks such as TensorFlow, PyTorch, and MXNet, this AMI enables developers to streamline their machine learning workflows. It supports GPU instances for accelerated performance, making it ideal for training complex models quickly. With extensive documentation and community support, users can easily deploy and manage their deep learning applications. Suitable for data scientists, researchers, and developers, this AMI accelerates experimentation and innovation in machine learning projects, providing a robust environment to tackle various data-driven challenges effectively. Leverage the power of AWS to scale your AI initiatives with ease.
This is a repackaged software product wherein additional charges apply for support by Bansir with Deep Learning AMI (DLAMI) Amazon Linux 2 and includes support.
openSUSE Leap Mini Linux distribution
Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization
This solution analyzes images of civil structure surfaces and predicts whether they have cracks or not, using quantum ML.
Stability AI Stable Diffusion XL V1.0
This product has charges associated with it for seller support. The Deep Learning AMI Amazon Linux is an optimized solution designed for developers and data scientists to accelerate machine learning workflows. It comes pre-installed with popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet, along with a wide range of libraries for data manipulation and visualization. Benefit from built-in GPU support to enhance the performance of your models and reduce training time significantly. This AMI also supports Jupyter notebooks, making it easy to develop, test, and deploy your deep learning applications in the EC2 cloud. Ideal for industries like healthcare, finance, and autonomous systems, the Deep Learning AMI simplifies the complex process of setting up a deep learning environment, allowing you to focus on innovation rather than infrastructure.
This product has associated charges for the support provided and the Pre-configured stack.
Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization
Label Studio is a data labeling platform to annotate data for machine learning and AI projects. It provides a web-based interface for creating customizable labeling workflows to suit your specific data annotation needs. Label Studio is a versatile platform to streamline and scale up machine learning data pipelines. It shortens the time to market for AI systems.
Detection and blurring of faces and license plates.
This product has charges associated with it for seller support. The Deep Learning AMI DLAMI Ubuntu 16 is designed for developers and data scientists looking to streamline the deployment of deep learning applications on AWS EC2. This AMI comes pre-installed with popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet, enabling rapid experimentation and model training. With GPU support for accelerated performance, users can efficiently process large datasets, making it ideal for tasks ranging from image recognition to natural language processing. Additionally, the image is optimized for easier integration with AWS services like S3 and SageMaker. Whether you're prototyping ML models or running production workloads, the DLAMI Ubuntu 16 provides a versatile, scalable solution for all your deep learning needs.
Stability AI Stable Diffusion XL Beta V0.8
Rackspace Technology is the cloud native services company, leading the most complex technology projects in the world. As the dedicated AWS business at Rackspace Technology, we leverage the innovative capabilities of the AWS cloud to help customers build new revenue streams, increase efficiency, and deliver incredible experiences. To help you better understand how you can leverage AI/ML in your business, Rackspace Technology is offering a complimentary AI & ML Strategy Session, where we’ll share how these technologies are being used to develop business value and uncover use cases for leveraging AI/ML across your organization.
This product has charges associated with it for seller support. This is open source software, which is repackaged by Hanwei software technology. The additional cost is applicable to the extended support of 24-hour response time. Ready-to-use OCR with 80+ supported languages and all popular writing scripts including: Latin, Chinese, Arabic, Devanagari, Cyrillic, etc.
DeepLab is a powerful model for image semantic segmentation, powered by GluonCV.
Turn imagination into art. Powered by the latest technology, our AI creates art and images based on simple text instructions. This AI Art model can produce diverse painting styles, including oil, watercolor, modern, abstract, and more. Our technology can also simulate Van Gogh, Monet, Picasso, and famous painters, or can attempt to create art in the style of famous paintings. Please inquire about photorealistic styles. Common applications include creating graphics for merchandise, book art, album covers, fan art, and simply helping people see their imaginations manifested in more tangible form.
Leading free and open-source face recognition system
ITE is a computer vision based OCR solution
The log recognition system analyzes images and returns probability scores of the presence of the top 500 brands logos in them.