Search Results for "programming languages learning" - Page 52
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Showing 1291 open source projects for "programming languages learning"
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A set of web-based word games, intended as an aid for learning vocabularies of foreign languages, as well as for fun. Will Include both single and multi player games.
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This project is a Proof-of-Concept for how modern programming languages are especially fit for creating code generators, considering the special requirements for composition, configuration, templating and data manipulation in code generation scenarios.
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The programming outpouts of the COVCELL Minerva Project. Modules for Moodle to improve communications, allow for spontaneous interactions, and provide other tools, for enhanced language learning.
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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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A web based tool for learning vocabulary visually via pictures of objects. User can create vocabulary maps and share them with others which in turn can extend the maps with additional languages.
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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. The development website can be found on http://www.vyne.org -
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Mellum-4b-base
JetBrains’ 4B parameter code model for completions
Mellum-4b-base is JetBrains’ first open-source large language model designed and optimized for code-related tasks. Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. The model is efficient for both cloud inference with vLLM and local deployment using llama.cpp or Ollama, thanks to its bf16 precision and AMP training. ... -
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VocabTrainer is an freeware, open-source python-based system to aid in learning new languages. It is the ideal companion to a language class or course.
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DBNL
Dynamic Bayesian Network Library
DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary questions given the provided evidence and can even cope with multimodal densities. ... -
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Blade Language Developer (or Project Blade for short) is a toolkit for creating domain specific or general programming languages. The toolkit offers a language for describing grammars, and templatable parser generator.
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For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.
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Compiler and virtual machine of a new programming language similar to pascal with learning proposals for computer science engineering students.
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t5-base
Flexible text-to-text transformer model for multilingual NLP tasks
...It was trained on the C4 dataset, along with a variety of supervised NLP benchmarks, using both unsupervised denoising and supervised objectives. The model supports multiple languages, including English, French, Romanian, and German. Its flexible architecture and consistent input/output format simplify model reuse and transfer learning across different NLP tasks. T5-base achieves competitive performance across 24 language understanding tasks, as documented in its research paper. -
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Nemotron 3.5 Lightning
Efficient 30B MoE model for long-running agents and local inference
NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 is an open large language model optimized for efficient autonomous agents, sub-agent deployments, and local inference. It uses a hybrid Mixture-of-Experts architecture combining Mamba-2, MoE, and selected attention layers, with 30B total parameters but only 3B active during inference. The model supports context windows up to 1 million tokens, enabling long-running workflows and large-context reasoning. Its NVFP4 quantization reduces deployment... -
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MiniMax-M2.7
Self-evolving AI model for agents, coding, and complex workflows
...With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. 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. ...
