InEight is a leader in construction project controls software
InEight serves contractors, owners, and engineers in capital construction
Minimize risks, gain operational efficiency, control project costs, and make confident, informed decisions. InEight software has your back during every stage of construction, from accurate pre-planning to predictable execution and completion. When project teams collaborate effectively, every decision is backed by precise, authoritative insights.
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Propel Software: Product Value Management Platform for Manufacturers
For modern product companies that need to connect product and commercial teams successfully
Propel is a cloud-native Product Value Management platform that unifies PLM, QMS, and PIM in one connected system, giving manufacturers complete visibility and control across the entire product lifecycle. It provides a single source of truth for all product data, streamlines change management, strengthens quality and compliance processes, and accelerates time-to-market by eliminating the silos and manual steps that slow teams down.
A book-in-progress about the Linuxkernel and its insides
...It is written for readers who already have some familiarity with C and assembly language and want to understand what happens under the hood of Linux. The material is continuously updated as the kernel evolves, reflecting changes in modern kernel versions. Overall, linux-insides is widely regarded as a deep technical learning resource for systems programmers and advanced Linux enthusiasts.
Main goals:
* Prepare operating system based on Linuxkernel and free software for use at home from scratch by building sources. Binary packages/images are also available.
* Each package is installed in separate directory, so you can use different versions of applications and libraries by design.
* There is only one user 'kanapi' with root permissions, so you don't have to login, remember passwords, etc
A technical report on convolution arithmetic in deep learning
A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution. The animations will be output to the gif directory. Individual animation steps will be output in PDF format to the pdf directory and in PNG format to the png directory. We introduce a guide to help deep learning practitioners understand and manipulate convolutional neural network architectures....