Search Results for "c# source code example"
Sort By:
Showing 3 open source projects for "c# source code example"
View related business solutions-
Resco toolkit for building mobile appsDeploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.
-
Simplify, streamline, and stay on top of all your moving parts with the only ERP designed by distributors for distributors.Prophet 21 is purpose-built to drive growth, modernize workflows, and build deep customer connections. One-size-fits-all software can be a drag on business. We built Prophet 21 to help distributors scale and grow without compromise. Get the speed, security, reliability, and scalability of Microsoft Azure Cloud. Run Prophet 21 from virtually any browser, on any device, anywhere in the world. Customize fields, personalize views, and enact your own business logic. Integrate with business applications, partners, and customers through RESTful API. Epicor Prophet 21 helps you understand your buyers. Use dashboards and tools to exceed your customers' expectations and earn their loyalty. Streamline your quote-to-cash cycle, improve margins, and fulfill orders flawlessly. Give your team the power to close sales at the counter or on mobile devices and tablets. And increase margins with strategic pricing based on market data and your sales history.
-
1
pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
C++ Implementation of PyTorch Tutorials for Everyone. This repository provides tutorial code in C++ for deep learning researchers to learn PyTorch (i.e. Section 1 to 3) Interactive Tutorials are currently running on LibTorch Nightly Version. Libtorch only supports 64bit Windows and an x64 generator needs to be specified. Create all required script module files for pre-learned models/weights during the build. Requires installed python3 with PyTorch and torch-vision. You can choose to only... -
2
Reliable Metrics for Generative Models
Code base for the precision, recall, density, and coverage metrics
Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those... -
3
Grenade
Deep Learning in Haskell
Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only...
- Previous
- You're on page 1
- Next
