Search Results for "e-learning"

ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ...

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. ...

AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. ...

Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation.

Erlang is a programming language used to build massively scalable soft real-time systems with requirements on high availability. Some of its uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems. It includes its own distributed database, applications to interface towards other languages, debugging and release handling tools. ...

PEARL is a high level procedural programming language, which was especially designed for the demanding need to have an expressive and comfortable language for solving multitasking problems when controlling technincal processes. PEARL is an abbreviation for "(P)rocess and (E)xperiment (A)utomation (R)ealtime (L)anguage". It was designed around 1975 at the IRT Institute of the Leibniz University in Hannover with the idea in mind to have an easy to learn programming language for realtime problems. For more, also historical information please visit (http://www.pearl90.de/). In 1998 PEARL-90 was standardized by the Deutsches Institut für Normung e.V. in DIN 66253-2. ...

...Starboard notebooks support multiple languages, and the tooling emphasizes portability, making notebooks viewable and executable even on mobile devices or static sites. Because the runtime runs entirely inside the browser, it removes installation barriers and provides a sandboxed environment for exploration, learning, and sharing. The project plays into a larger ecosystem of in-browser computation and literate programming tools, helping users publish interactive content on the web with minimal setup.

Extensible framework that enables productive design, analysis, and execution of arbitrary-sized neural-networks or system on a distributed, scalable, high-throughput runtime platform. Enables synapse-oriented-programming.