Search Results for "course allocation system"
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Showing 8 open source projects for "course allocation system"
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SpaceWasm
A flight-compliant WebAssembly interpreter
...A streaming decoder reads modules in chunks, validates them in one pass, and converts instructions into an interpretation-focused intermediate representation. Its custom memory model uses fixed-size pages to provide deterministic allocation behavior and avoid panic on allocation failure. Embedders can expose controlled host functions while restricting program access, compute time, and system interactions. The project emphasizes sandboxing, portability, predictable resource use, and compatibility with flight-software requirements. Tests, fuzzing, benchmarks, requirements, and integration components are included in the Rust codebase. -
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CPU Features
A cross platform C99 library to get cpu features at runtime
cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and... -
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Rapid YAML
Library to parse and emit YAML, and do it fast
...Serialization happens only at your direct request, after parsing / before emitting. Internally, the data tree representation stores only string views and has no knowledge of types, but of course, every node can have a YAML type tag. ryml makes it easy and fast to read and modify the data tree. -
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frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can run multiple predictions in parallel, thus utilizing as many CPUs as you like to improve the overall prediction throughput of your application/pipeline. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Practical Programming Books
A collection of more practical computer-related technical books
Practical Programming Books is a curated Chinese-language directory of programming books, tutorials, technical websites, and well-written articles. It focuses on resources that can help developers learn useful technical subjects efficiently. Programming-language sections cover technologies including C/C++, Java, JavaScript, Python, Go, Ruby, Swift, PHP, Haskell, and many others. Language-independent topics include operating systems, databases, distributed systems, design patterns, web... -
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MIT-6.824
Basic Sources for MIT 6.824 Distributed Systems Class
MIT-6.824 is a study repository containing source code and supporting material for MIT's distributed systems course. Its materials are based on the 2021 version of the class and organize resources around lectures and practical exercises. Topics include MapReduce, remote procedure calls, threads, the Google File System, primary-backup replication, and Raft consensus. The repository includes Go-based exercises such as crawler, key-value, and MapReduce labs. -
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interview
Everything you need to prepare for your technical interview
Interview is a large curated collection of resources for preparing for software engineering and technical job interviews. Instead of providing a single course, it organizes books, articles, practice sites, videos, mock interviews, question collections, and specialist guides in one repository. Algorithm preparation covers textbooks, coding challenge platforms, tutorials, and data-structure resources. General interview guidance includes resume advice, behavioral preparation, coding interviews, and system design material. ... -
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moodle-javalib
Java client library for Moodle 2.x REST Web Services
...Further work in this area has shown the feasibility of developing a client library, which could be used in the Information Systems developed for the Java platform, in order to ensure their interaction with the Moodle platform. The advantage of using such a library is the ability for developers to operate by Moodle objects, such as a course, category, cohort, user, group, etc.in object-orienting programming style. This project aims to engage students in software development for Java platform using modern tools and development tools, as well as project management system.
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