Search Results for "low level programming language" - Page 16
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Showing 394 open source projects for "low level programming language"
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Designed for non-expert scientists considering to use VR, Aura presents an easy-to-understand C++ API that extends basic available low-level graphics facilities like OpenGL or Direct3D with scene graph management paradigms and a VR programming framework.
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This project aims to develop a new high-dynamic engine (codebase) for MUD's. We're not going to use any of existing codebases writing everybit from scratch. Ppl with knowledge of any programming language at any level are welcome.
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The project's objective is to popularize low-level programming, with less emphasis on assembly-level programming. Low-level, as in "raw", no translator layer separating the programmer from the machine. It also aims to come up with small-sized algorithms t
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An extensible IDE for developing programs in a language-neutral representation, allowing you to add new "language-level" abstractions without having to worry about working the changes into the syntax for a programming language.
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Fifth is a exciting project to develop a new programming language that has all the capabilityits of C to develop low-level drivers, but uses a postfix syntax and has many high-level features from LISP and ML.
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The Cup Programming Language is a combination compiler and VM (Virtual Machine). The language is purely procedural, though allows 'top-level' code like a scripting language.
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RLaB is a high level programming language targeted at engineering applications. Rlab is _not_ a clone of languages like Matlab. Though, it can be called "MATLAB-like" since the programming language possesses similar operators and concepts.
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Educational programming language tools written in Python for use with PC/104 computer based robotics teaching at the middle/high school level.
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Prog is a lightweight, high-level, general-purpose, interpretable, compilable, strongly typed language that balances pragmatism, legibility, and versatility. Types are first-class objects and evaluation is considered a side-effect of type conversion.
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Vyne Compiler
A compiler that compiles the Vyne programming language.
The compiler is aimed at compiling the vyne language. The Vyne language is a high level programming language that aims to be a very powerful alternative to the currently well established high level languages. The goal is not to reinvent the wheel, but to make it better. One thing that is important is that Vyne should not be owned by anybody. The language itself should be maintained by the community. -
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C++ Custom Threads Library
A library enabling concurrency by using threads for a single process.
This project demonstrates the implementation of a custom thread library using POSIX threads (pthread). The custom library is designed to provide low-level control over thread management and synchronization, offering functionality similar to the C++ Standard Library's <thread> library. The custom thread library includes various features like mutexes, lock guards, condition variables, thread attributes, and thread-local storage, making it robust and flexible for multithreaded programming. -
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luamt is a power patch of lua-5.1.2. It provides more multithreading features at language level, easy to programming and easy to debug.
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms -
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gpt-oss-120b
OpenAI’s open-weight 120B model optimized for reasoning and tooling
GPT-OSS-120B is a powerful open-weight language model by OpenAI, optimized for high-level reasoning, tool use, and agentic tasks. With 117B total parameters and 5.1B active parameters, it’s designed to fit on a single H100 GPU using native MXFP4 quantization. The model supports fine-tuning, chain-of-thought reasoning, and structured outputs, making it ideal for complex workflows. -
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Ministral 3 3B Instruct 2512
Ultra-efficient 3B multimodal instruct model built for edge deployment
Ministral 3 3B Instruct 2512 is the smallest model in the Ministral 3 family, offering a lightweight yet capable multimodal architecture designed for edge and low-resource deployments. It includes a 3.4B-parameter language model paired with a 0.4B vision encoder, enabling it to understand both text and visual inputs. As an FP8 instruct-fine-tuned model, it is optimized for chat, instruction following, and compact agentic tasks while maintaining strong adherence to system prompts. Despite its... -
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YARML or (Yet Another Readable Markup Langage) is a simple and readable markup language which have the same structure of XML but with new syntax which near to the syntax which used with the high level programming languages like Java,PHP, C and Python.
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Qwen3.8-27B
Dense 27B multimodal model for coding, agents, and visual reasoning
Qwen3.8-27B is a compact, open-weight dense multimodal model designed for advanced coding, professional work, research, visual understanding, and long-horizon agentic tasks. Built on the Qwen3.5 architecture, it contains 27B parameters and combines Gated DeltaNet with gated attention across 64 layers. The model natively understands text, images, and videos, including documents, STEM diagrams, and hour-scale video content. Agent capabilities emphasize autonomous planning, environment... -
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MiniMax-M2.7
Self-evolving AI model for agents, coding, and complex workflows
...This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30% improvement in programming scaffolds. M2.7 excels in real-world engineering scenarios, including debugging, log analysis, system monitoring, and root cause investigation, demonstrating strong system-level reasoning comparable to SRE workflows. It also supports multi-agent collaboration through Agent Teams, allowing coordinated problem-solving across roles. -
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Llama-3.2-1B
Llama 3.2–1B: Multilingual, instruction-tuned model for mobile AI
meta-llama/Llama-3.2-1B is a lightweight, instruction-tuned generative language model developed by Meta, optimized for multilingual dialogue, summarization, and retrieval tasks. With 1.23 billion parameters, it offers strong performance in constrained environments like mobile devices, without sacrificing versatility or multilingual support. It is part of the Llama 3.2 family, trained on up to 9 trillion tokens and aligned using supervised fine-tuning, preference optimization, and safety...
