Showing 652 open source projects for "programming learning system"

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  • 1
    CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.
    Downloads: 0 This Week
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  • 2
    A collection of open source software and documents on machine perception and machine learning. Includes a state of the art face detector (MPISearch), video labeling tools (Score), and tutorials (Kolmogorov Tutorials).
    Downloads: 0 This Week
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  • 3
    FLPD is an automatic learning system based on fuzzy prototypes, composed of a C++ library for machine learning and fuzzy logic and an experimentation framework.
    Downloads: 0 This Week
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  • 4
    nn-utility is a neural network library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.
    Downloads: 1 This Week
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  • 5
    The purpose of the project is to make the bash behave intelligent. This includes currently corrrection of mistyped program names, autocorrection while pressing TAB and learning which program are associated with which suffix.
    Downloads: 0 This Week
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  • 6
    Net.py is a tool for learning about neural nets. Currently, it only allows the user to experiment with a Hopfield net. I am now extending it to cover the Kohonen net. I'd be pleased to receive suggestions and criticism.
    Downloads: 0 This Week
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  • 7
    GNNS - GNNS Neural Network Simulator, is both a set of libraries and an interface for creating and learning neural networks. It is aimed to support as many network typs and learning algorithms as possible. GNNS is meant to support different platforms.
    Downloads: 2 This Week
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  • 8

    The ASCII Project

    An ASCII MMORPG / World Simulation / Genetic Programming Project

    This project was previously oriented towards creating an AI based Operating System. However new visitors should refer to www.theasciiproject.com for information about what this project has developed into.
    Downloads: 0 This Week
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  • 9
    HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
    Downloads: 0 This Week
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  • 10
    Neural Network calculation & learning library
    Downloads: 0 This Week
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  • 11
    iMate is a win32 / Linux desktop mate programme. It offers more features than the already existing desktop mate (AI, learning capacity, growth and limited lifeTime, third party tools to add new behaviour, ...).
    Downloads: 0 This Week
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  • 12
    jrgp is a strong-typed Genetic Programming system, which features a graphical interface (gool) to setup and run GP-problems and a tool (fs-d) that greatly simplifies the definition of a GP-problem.
    Downloads: 0 This Week
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  • 13
    Tourk is a framework for developing programming games, where two (or more) people write game playing code (like Deep Blue) and a controller puts the two against each other.
    Downloads: 0 This Week
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  • 14
    EvoLab is a genetic programming system written in Java. This project is not active at the moment.
    Downloads: 0 This Week
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  • 15
    The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.
    Downloads: 1 This Week
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  • 16
    PMDGP is an object oriented framework written in C++ for implementing genetic programming problems. Once a GP problem has been implemented using the framework, a GUI client and Server can be used do distribute the fitness evaluation.
    Downloads: 0 This Week
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  • 17
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
    Downloads: 0 This Week
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  • 18
    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.
    Downloads: 0 This Week
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  • 19
    Monk Computer Vision

    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
    Downloads: 0 This Week
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  • 20
    a distributed engine for abstract neural network development via natural-language programming
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  • 21
    MiniMax-M2.7

    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. ...
    Downloads: 0 This Week
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  • 22
    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 questions given the provided evidence and can even cope with multimodal densities. ...
    Downloads: 0 This Week
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  • 23
    Vortex

    Vortex

    Async message based communication system for different languages

    Different implementations of a JSON based protocol for interchange of messages between different programming languages in a peer to peer fashion. Currently Java and Javascript support, but more coming.
    Downloads: 0 This Week
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  • 24
    Mellum-4b-base

    Mellum-4b-base

    JetBrains’ 4B parameter code model for completions

    ...While the base model is not fine-tuned for downstream tasks, it is designed to be easily adapted through supervised fine-tuning (SFT) or reinforcement learning (RL). Benchmarks on RepoBench, SAFIM, and HumanEval demonstrate its competitive performance, with specialized fine-tuned versions for Python already showing strong improvements.
    Downloads: 0 This Week
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  • 25
    SuperJabberBot is a project that aims to implements an extendible and very flexible bot for the jabber protocoll in c++.Chatting with the bot you can control a remote server without ssh, and can also be used as a chat bot, learning language from the chat
    Downloads: 0 This Week
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