Showing 34 open source projects for "ns2 code with algorithm"

View related business solutions
  • Cloud-based help desk software with ServoDesk Icon
    Cloud-based help desk software with ServoDesk

    Full access to Enterprise features. No credit card required.

    What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
    Try ServoDesk for free
  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
    Learn More
  • 1
    cCNN

    cCNN

    A fast implementation of LeCun's convolutional neural network

    Code of this library is partialy based on myCNN MATLAB class written by Nikolay Chemurin.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    ACADO Toolkit

    ACADO Toolkit

    Toolkit for Automatic Control and Dynamic Optimization

    ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    tiny-AI Library

    tiny-AI Library

    small and fast C++ library dealing with artificial intelligence

    A fast artificial intelligence library which currently supports: kNN (k-Nearest Neighbor algorithm) MLP (Multilayer-Perceptron)
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Easy-to-use Business Software for the Waste Management Software Industry Icon
    Easy-to-use Business Software for the Waste Management Software Industry

    Increase efficiency, expedite accounts receivables, optimize routes, acquire new customers, & more!

    DOP Software’s mission is to streamline waste and recycling business’ processes by providing them with dynamic, comprehensive software and services that increase productivity and quality of performance.
    Learn More
  • 5
    An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 6
    MeMo (stands for Meta-Model) is planned as Generic Programming Language & IDE, as flexible & smart as it is possible for computer application, including adjustable syntax, algorithm reduction. Ideally, it has to contain AI for interacting with the user.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    It is the source code for a tree mining algorithm called TRIPS. It can mine frequent subtrees from a forest of tree structures.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 9
    TextCodec can encode texts using simple algorithm and then decode them by using statistical language data.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
    Try for free