EasyODM Integrations

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

BrainBox AI utilizes self-adapting artificial intelligence technology to proactively optimize one of the world’s largest energy consumers and GHG emitters: buildings. It is often unperceived that one of the leading contributors of this energy usage comes from buildings’ Heating, Ventilation, and Air Conditioning (HVAC) systems. In fact, 45% of commercial buildings’ energy consumption comes from HVAC, of which 30% is usually wasted. Using deep learning, cloud-based computing, and our proprietary process, our AI engine autonomously and granularly optimizes existing HVAC systems in real-time for maximum impact on energy consumption, carbon footprint and building operations. Commercial buildings produce a large portion of global GHGs. Our technology can help halve these emissions. BrainBox AI's game-changing technology uses deep learning, cloud computing, and custom algorithms to proactively optimize the energy consumption of one of the largest climate change contributors.