Products

Censorfy is an AI-powered content moderation platform designed to help businesses and individuals ensure their text and image content aligns with established guidelines. By offering instant moderation through a simple HTTP request, Censorfy streamlines the process of maintaining appropriate and compliant content across various platforms. Key Features and Functionality: - Text and Image Moderation: Utilizes advanced AI technology to analyze and moderate both textual and visual content effective

TensorFlow is an open-source machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platforms. It provides a comprehensive ecosystem that supports tasks ranging from simple data flow graphs to complex neural networks, enabling developers and researchers to build and deploy machine learning applications efficiently. Key Features and Functionality: - Flexible Architecture: TensorFlow's a

Tor is a free and open-source software that enables anonymous communication over the internet by directing traffic through a worldwide, volunteer-operated network of servers. This process conceals a user's location and usage from surveillance and traffic analysis, ensuring privacy and freedom online. Key Features and Functionality: - Anonymity: Tor routes internet traffic through a series of encrypted relays, making it difficult to trace the origin of the data. - Privacy Protection: By encryp

Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-installed, enabling users to deploy and scale machine learning models efficiently on Google Cloud's infrastructure. Key Features and Functionality: - Pre-installed Frameworks: Support for TensorFlow Enterprise, TensorFlow, PyTorch, and generic high-performance computing, catering to various machine le

The AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and deep learning applications. It combines TensorFlow 1.8, Keras, Python 3.6, and Jupyter Notebook, all optimized for NVIDIA GPU acceleration using CUDA 9.1 and cuDNN. This setup provides data scientists and developers with a ready-to-use platform, eliminating the complexities of manual installation and configuration. Key Features and Functionality: - Te

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Developm

Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models. Key Features and Functionality: - Flexible and Scalable Hardware: Provides a wide range of AI-optimized co

FoxyProxy is a comprehensive proxy and VPN service provider established in 2006, offering users secure and private internet access through a vast network of servers in over 110 countries. Catering to both individual and enterprise needs, FoxyProxy delivers reliable solutions for bypassing geo-restrictions, enhancing online privacy, and facilitating seamless proxy management. Key Features and Functionality: - Extensive Server Network: Access to servers in more than 110 countries, enabling users

TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.

Amazon Inferentia is a machine learning inference chip designed to deliver high performance at low cost. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format.

The AISE TensorFlow 1.8 Python 2.7 CPU Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines TensorFlow 1.8, an open-source machine learning library; Keras 2.1.6, a neural network library; Jupyter Notebook 1.0.0, an interactive web-based notebook; and Python 2.7.14. This stack is optimized for CPU performance using Intel's Math Kernel Library and MKL-DNN, ensuring efficient execution of machine learning tasks.

This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub]

This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2 ). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the i

MinIO AIStor is the Exascale Data Store for the AI Enterprise AIStor is a high-performance, enterprise-grade object store designed for hyperscale AI workloads. With unmatched performance, robust data protection, and seamless scalability, AIStor powers your AI-driven enterprise with simplicity and reliability. Exabyte Scale, No Performance Collapse Grow from petabytes to exabytes in a single namespace. AIStor sustains performance at any scale. AI-Optimized Throughput & Latency Delivering micr

Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Image Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation - ML-powered labeling tools: DeepPixels and Autosegment Image Vector Labeling - Bounding boxes - Polygons - Polylines - Keypoints Point Cloud Segmentation - S

This is a Sentence Pair Classification model built upon a Text Embedding model from TensorFlow Hub

Censorly is a comprehensive content moderation platform designed to help businesses and online communities maintain safe and respectful environments. By leveraging advanced artificial intelligence and machine learning algorithms, Censorly efficiently detects and filters inappropriate content, including offensive language, hate speech, and explicit material, across various digital platforms. Key Features and Functionality: - Real-Time Content Analysis: Censorly provides instant scanning and mod

The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.

AISE TensorFlow 1.10 Python 2.7 CPU MKL Production is a pre-configured Amazon Machine Image (AMI) designed to provide a robust and efficient environment for developing and deploying machine learning models. This AMI integrates TensorFlow 1.10, Python 2.7, and Intel's Math Kernel Library (MKL to optimize performance on CPU-based instances. It offers a stable and production-ready setup, enabling users to focus on building and training models without the overhead of manual configuration. Key Featu