Search Results for "graph c#"

Faster data. Fewer nodes. More time for coffee. Redpanda is a Kafka®-compatible streaming data platform that is proven to be 10x faster and 6x more cost-efficient. It is also JVM-free, ZooKeeper®-free, Jepsen-tested and source available. We are building a real-time streaming engine for modern applications - from the enterprise to the solo dev prototyping a react application on her laptop. We go beyond the Kafka protocol, into the future of streaming with inline WASM transforms and...

The Mercury messaging toolkit is a new way to handle cross-component communication in the Unity game engine. It integrates seamlessly with the Unity Editor, and is both robust and expandable. It has been tested in Unity 2020 up until 2020.3.21f1, Unity 2019 up until 2019.2.17f1, Unity 2018 up until 2018.3.13f1, Unity 2017 up until 2017.4f1, and 5.6. The toolkit contains the Mercury messaging framework, which is a messaging and organizational framework built around the Mercury Protocol. Unity...

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous...

...Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement learning, etc. The front-end language is Python. Module Design and Dynamic Graph Execution is used in the front-end, which is the most popular design for deep learning framework interface. The back-end is implemented by high-performance languages, such as CUDA, C++. Jittor'op is similar to NumPy. Let's try some operations. We create Var a and b via operation jt.float32, and add them. Printing those variables shows they have the same shape and dtype.

...Modules declare provided interfaces and requirements, and the injector ensures the whole graph is complete before you ship, eliminating many runtime surprises. Because bindings are ordinary C++ code, they integrate naturally with headers, visibility rules, and link-time optimization. Fruit’s design aims to deliver the ergonomics of DI frameworks from managed languages while staying faithful to C++ performance and compile-time guarantees.

Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.

USB flash drive ISO image for Ethereum mining with NVIDIA graphics cards and Ubuntu GNU/Linux (64-bit Intel/AMD (x86_64)). Other cryptocurrencies, such as Monero or Zcash, can also be mined. With this ISO image, you can immediately mine Ethereum (ETH). Do not spend long time searching and researching. If you do not trust me and do not want to use the image, you will find all configuration files and scripts in the files folder. You only have to install an Ubuntu Linux with all the drivers and...

PREESM provides a complete framework for fast prototyping. It generates a simulation and an optimized multiprocessor code from graph descriptions of algorithm and architecture. Please visit the project homepage at http://preesm.sourceforge.net.

The Network-Integrated Multimedia Middleware (NMM) is a flow graph based multimedia framework that allows to create distributed multimedia applications: local and remote multimedia devices or software components can be combined.

SNAP (Small-world Network Analysis and Partitioning) is an extensible parallel framework for exploratory analysis and partitioning of large-scale networks.

A set of frameworks and applications related to course planning and class scheduling, intended to be used by college students. Has some nice features, like graph visualization and automatic generation of timetables based on constraints.