Showing 210 open source projects for "basic programming software"

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  • 1
    The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.
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  • 2
    An open source set of embedded software libraries in C, C++ and Assembler for robotics programming, targeting controllers using Motorola 68K/ColdFire & PowerPC micros. The initial target is the 68332-powered Mini RoboMind controller (www.robominds.com)
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  • 3
    GenP Genetic Programming Library is a cross-platform library of genetic programming functions for generic application. Initially it's purpose is for machine learning in board games but should be applicable to any purpose.
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  • 4
    Project to Design and Implement a new programming language. The language is named Hybrid (c), as it's nature. We "build on" existing languages (Python & others), and not start from scratch (as C++ builds on C). see Docs.
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  • 5

    Solve Logic Word Puzzles with CLP

    Constraint Logic can solve word logic puzzles.

    Learn basic constraint logic programming by solving logic word puzzles. Go to http://eclipse.dougedmunds.com . This tutorial will show you how to solve easy 1 star to hard 5 star puzzles, using the eCLiPSe-CLP language (available at http://eclipseclp.org/). Don't confuse this programming language (a prolog language) with the IDE for Java.
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  • 6

    AntiPython-AI-Compiler-Colab

    Google Colab GPU access in your favorite programming language

    AntiPython Colab is a source to source compiler that let's you build AI in Java, Rust, JavaScript, Flutter, C#, Go, Ocaml(and etc...) utilizing free Google Colab GPUs! It's blazingly fast and very robust as it uses websockets and the Treesitter C library under the hood.
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  • 7
    openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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  • 8
    DBNL

    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...
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  • 9
    MiniMax-M2.7

    MiniMax-M2.7

    Self-evolving AI model for agents, coding, and complex workflows

    MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. 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. ...
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  • 10
    Kimi K2.7 Code

    Kimi K2.7 Code

    Coding-focused Kimi model for long-horizon agent workflows

    Kimi K2.7 Code is a coding-focused agentic model built on Kimi K2.6, designed for long-horizon software engineering, autonomous coding workflows, and complex tool-based execution. It improves end-to-end task completion across real-world programming scenarios while reducing thinking-token usage by about 30% compared with K2.6. Architecturally, it uses a 1T-parameter Mixture-of-Experts design with 32B activated parameters, 61 layers, 384 experts, a 256K-token context window, and a MoonViT vision encoder. ...
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