Search Results for "tora for linear programming"

Showing 14 open source projects for "tora for linear programming"

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  • 1
    ToRA

    ToRA

    Tool-integrated Reasoning LLM Agents

    ToRA is an open-source framework developed by Microsoft for building tool-integrated reasoning agents powered by large language models. The project focuses on improving the ability of AI systems to solve complex mathematical and analytical problems by combining natural language reasoning with external computational tools. Instead of relying solely on text generation, the system dynamically invokes tools such as symbolic solvers or programming libraries when deeper computation is required. ...
    Downloads: 0 This Week
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  • 2
    Perceval

    Perceval

    An open source framework for programming photonic quantum computers

    An open-source framework for programming photonic quantum computers. Through a simple object-oriented Python API, Perceval provides tools for composing circuits from linear optical components, defining single-photon sources, manipulating Fock states, running simulations, reproducing published experimental papers and experimenting with a new generation of quantum algorithms.
    Downloads: 5 This Week
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  • 3
    NVIDIA cuOpt

    NVIDIA cuOpt

    GPU accelerated decision optimization

    NVIDIA cuOpt is a GPU-accelerated optimization engine designed to solve complex mathematical optimization problems at large scale. It supports a range of optimization models including linear programming (LP), mixed integer linear programming (MILP), quadratic programming (QP), and vehicle routing problems (VRP). Built primarily in C++, cuOpt leverages NVIDIA GPUs to deliver near real-time solutions for optimization tasks involving millions of variables and constraints. The platform provides multiple interfaces, including C, Python, and server APIs, allowing developers to integrate optimization capabilities into applications and services. cuOpt is designed for high-performance environments and can be deployed across cloud, hybrid, or on-premise infrastructures. ...
    Downloads: 3 This Week
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  • 4
    MLJAR Studio

    MLJAR Studio

    Python package for AutoML on Tabular Data with Feature Engineering

    We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,...
    Downloads: 8 This Week
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  • 5
    Data Science Interviews

    Data Science Interviews

    Data science interview questions and answers

    ...The project serves as a preparation resource for students, job seekers, and professionals who want to review the technical knowledge required for data science roles. The repository organizes questions into different categories including theoretical machine learning concepts, technical programming questions, and probability or statistics problems. Many of the questions cover fundamental machine learning topics such as linear models, decision trees, neural networks, and evaluation metrics. In addition to theoretical questions, the repository also includes practical interview topics related to coding challenges, SQL queries, and algorithmic thinking.
    Downloads: 0 This Week
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  • 6
    Solver
    Forget about sleepless nights over textbooks! Solver is an application that solves equations quickly and easily. • Solve equations of any type — from linear to the fourth degree. • Save time and effort — you won't have to learn anything else. • Import and export data — work with equations from files and save solutions in the desired format. Don't miss the chance to make learning math simple and effective!
    Downloads: 1 This Week
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  • 7
    GrainSizeTools script

    GrainSizeTools script

    A Python script for estimating the grain size from thin sections

    Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the...
    Downloads: 1 This Week
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  • 8
    dsam
    The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
    Downloads: 0 This Week
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  • 9
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 0 This Week
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  • 10
    cpR Chemical Pathology interface for R

    cpR Chemical Pathology interface for R

    A graphical user interface to R for use in Clinical Chemistry

    This project is a graphical user interface to the R statistical programming language designed for use in Clinical Chemistry. It allows the user to perform Passing Bablok, Deming and Linear Regression and to produce high quality images in any file format for publication. The front end is written in Python 3.3 and PyQt4 and the form was designed using Qt4 Designer. The statistical analysis is written in R.
    Downloads: 2 This Week
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  • 11
    Stanford Machine Learning Course

    Stanford Machine Learning Course

    machine learning course programming exercise

    The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems.
    Downloads: 1 This Week
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  • 12
    Simplex method - Linear programming UFU - Learning Machine - Mestrado
    Downloads: 0 This Week
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  • 13
    Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
    Downloads: 1 This Week
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  • 14
    Mos2Gnu is a conversion utility to generate a GNU MathProg description file, understandable by the GNU Linear Programming Kit from the proprietary X-Press Mosel's file format
    Downloads: 0 This Week
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