Search Results for "ns2 code with algorithm"
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6 projects for "ns2 code with algorithm" with 2 filters applied:
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
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Swift Algorithm Club
Algorithms and data structures in Swift, with explanations
...The repository includes common classic algorithms (sorting, searching, trees, graphs, dynamic programming, etc.) and structures (queues, heaps, tries, balanced trees) along with writeups explaining them. Because it's in Swift, the code is idiomatic and leverages Swift language features and standard patterns, which helps learners see how algorithmic ideas map into modern code. Many of the algorithms come with test harnesses so you can run them and experiment. -
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google-java-format
Reformats Java source code to comply with Google Java Style
google-java-format is a program that reformats Java source code to comply with Google Java Style. The formatter can act on whole files, on limited lines, on specific offsets, passing through to standard-out (default) or altered in-place. There is no configurability as to the formatter's algorithm for formatting. This is a deliberate design decision to unify our code formatting on a single format. -
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MNN
MNN is a blazing fast, lightweight deep learning framework
MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity... -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
Financial reporting cloud-based software.The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
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shadowsocks-libev
Bug-fix-only libev port of shadowsocks
Shadowsocks-libev is a lightweight secured SOCKS5 proxy for embedded devices and low-end boxes. Shadowsocks-libev is written in pure C and depends on libev. It's designed to be a lightweight implementation of shadowsocks protocol, in order to keep the resource usage as low as possible. Snap is the recommended way to install the latest binaries. You can build shadowsocks-libev and all its dependencies by script. The latest shadowsocks-libev has provided a redir mode. You can configure your... -
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Carbon library
A declarative library for building component-based user interfaces
...Since components made with Carbon can be works directly on SwiftUI, the cost of future migration can be greatly reduced. Uses DifferenceKit which is highly optimized based on Paul Heckel’s paper for diffing. Declarative design and diffing algorithm make your code more predictable, debugging easier and providing beautiful animations to users.
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