Torch Integrations

Ant Download Manager (AntDM), is a fast download manager for any Internet file. It fully integrates with all major browsers. AntDM supports streaming video and audio downloads from many websites. It also supports peer-to-peer P2P protocol. AntDM supports the downloading of files from most popular premium link generators. Ant Download Manager (AntDM), a tool that can increase file download speed due to multiple download streams, resume and schedule downloads, as well as capture and download audio or video streams. It automatically processes download errors, recovers temporary network errors, reconnects if server response delays occur, and can resume interrupted downloads due loss of connection, network problems or unexpected power outages. You can accumulate download links at a time that is convenient for you.

Every day is a chance to make the most of it. Google Calendar's new app allows you to spend less time managing your calendar and more time enjoying it. A Schedule with a view. Schedule View brings your schedule to life. It makes it easy to see what's in store with images and maps.

Slack, a cloud-based project collaboration software solution that facilitates communication between teams, is designed to seamlessly integrate with other organizations. Slack offers powerful tools and services all integrated into one platform. It provides private channels for interaction within smaller teams, direct channels for sending messages to colleagues, as well as public channels that allow members to start conversations across organizations. Slack is available on Mac, Windows and Android as well as iOS apps. It offers a variety of features including chat, file sharing and collaboration, real-time notifications and two-way audio/video, screen sharing, document imaging and activity tracking and logging.

Zoom Meetings & Chat allows for enterprise video conferencing that includes real-time messaging and content sharing. Video conferencing and messaging made easy across all devices. Facilitate adoption with meeting capabilities that make it simple to join, start, and collaborate on any device. Zoom Meetings syncs to your calendar system and provides enterprise-grade video conferencing on both mobile and desktop. All-hands meetings, internal and external communications, trainings, and all-hands meetings can all be done through one platform. With support for up to 1000 participants and 49 videos per screen, HD video and audio can be added to your meetings. Multi-participants can share their screens simultaneously, and co-annotate to make it more interactive. End-to-end encryption of all meetings, role-based security, password protection and waiting rooms. You can also place attendees on hold. You can record your meetings locally or to cloud with searchable transcripts. Zoom offers HIPAA-compliant healthcare plans.

NVIDIA DeepLearning GPU Training System (DIGITS), puts deep learning in the hands of data scientists and engineers. DIGITS is a fast and accurate way to train deep neural networks (DNNs), for image classification, segmentation, and object detection tasks. DIGITS makes it easy to manage data, train neural networks on multi-GPU platforms, monitor performance with advanced visualizations and select the best model from the results browser for deployment. DIGITS is interactive, so data scientists can concentrate on designing and training networks and not programming and debugging. TensorFlow allows you to interactively train models and TensorBoard lets you visualize the model architecture. Integrate custom plugs to import special data formats, such as DICOM, used in medical imaging.

Deep learning frameworks like TensorFlow and PyTorch, Torch and Torch, Theano and MXNet have helped to increase the popularity of deep-learning by reducing the time and skills required to design, train and use deep learning models. Fabric for Deep Learning (pronounced "fiddle") is a consistent way of running these deep-learning frameworks on Kubernetes. FfDL uses microservices architecture to reduce the coupling between components. It isolates component failures and keeps each component as simple and stateless as possible. Each component can be developed, tested and deployed independently. FfDL leverages the power of Kubernetes to provide a resilient, scalable and fault-tolerant deep learning framework. The platform employs a distribution and orchestration layer to allow for learning from large amounts of data in a reasonable time across multiple compute nodes.