Search Results for "support vector machine" - Page 6

Showing 769 open source projects for "support vector machine"

View related business solutions
  • Secure remote access solution to your private network, in the cloud or on-prem. Icon
    Secure remote access solution to your private network, in the cloud or on-prem.

    Deliver secure remote access with OpenVPN.

    OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
    Get started — no credit card required.
  • Smart Monitoring for Any Network. Powered by Open Source. Icon
    Smart Monitoring for Any Network. Powered by Open Source.

    Trusted by thousands of IT teams worldwide

    NMIS helps with fault, performance, and configuration management. It provides performance graphs, threshold alerting, and detailed notification policies with various methods. NMIS monitors an organization’s IT environment, helps identify and rectify faults, and provides valuable information for IT planning.
    Get a Free Trial
  • 1
    UForm

    UForm

    Multi-Modal Neural Networks for Semantic Search, based on Mid-Fusion

    UForm is a Multi-Modal Modal Inference package, designed to encode Multi-Lingual Texts, Images, and, soon, Audio, Video, and Documents, into a shared vector space! It comes with a set of homonymous pre-trained networks available on HuggingFace portal and extends the transfromers package to support Mid-fusion Models. Late-fusion models encode each modality independently, but into one shared vector space. Due to independent encoding late-fusion models are good at capturing coarse-grained features...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Kubeflow

    Kubeflow

    Machine Learning Toolkit for Kubernetes

    Kubeflow is an open source Cloud Native machine learning platform based on Google’s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container. Wherever you may...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    QuadGK.jl

    QuadGK.jl

    adaptive 1d numerical Gauss–Kronrod integration in Julia

    This package provides support for one-dimensional numerical integration in Julia using adaptive Gauss-Kronrod quadrature. The code was originally part of Base Julia. It supports the integration of arbitrary numeric types, including arbitrary-precision (BigFloat), and even the integration of arbitrary normed vector spaces. The package provides three basic functions: quadgk, gauss, and kronrod. quadgk performs the integration, gauss computes Gaussian quadrature points and weights for integrating...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    IREE

    IREE

    A retargetable MLIR-based machine learning compiler runtime toolkit

    IREE (Intermediate Representation Execution Environment, pronounced as "eerie") is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the data center and down to satisfy the constraints and special considerations of mobile and edge deployments.
    Downloads: 0 This Week
    Last Update:
    See Project
  • The Fastest Observability Platform for IT, Apps, and Cloud | LogicMonitor Icon
    The Fastest Observability Platform for IT, Apps, and Cloud | LogicMonitor

    Overwhelmed by tech chaos? Unify your teams with real-time visibility and predictability.

    LogicMonitor’s SaaS-based observability platform empowers ITOps, developers, MSPs, and business leaders to monitor networks, applications, and cloud environments seamlessly. Gain full data center visibility, powerful dashboards, and flexible alerting to bridge the gap between tech and teams – all with AI-driven insights. Trusted by leading enterprises, LogicMonitor cuts troubleshooting time, boosts innovation, and delivers extraordinary employee and customer experiences. Transform IT operations with a solution built for modern businesses.
    Get Started
  • 5
    gensim

    gensim

    Topic Modelling for Humans

    Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Functors.jl

    Functors.jl

    Parameterise all the things

    Functors.jl provides tools to express a powerful design pattern for dealing with large/ nested structures, as in machine learning and optimization. For large machine learning models, it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help manage complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimizer update step.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Compute Library

    Compute Library

    The Compute Library is a set of computer vision and machine learning

    The Compute Library is a set of computer vision and machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies. The library provides superior performance to other open-source alternatives and immediate support for new Arm® technologies e.g. SVE2.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    Katib

    Katib

    Automated Machine Learning on Kubernetes

    Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is a project that is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    OpenNMT-tf

    OpenNMT-tf

    Neural machine translation and sequence learning using TensorFlow

    OpenNMT is an open-source ecosystem for neural machine translation and neural sequence learning. OpenNMT-tf is a general-purpose sequence learning toolkit using TensorFlow 2. While neural machine translation is the main target task, it has been designed to more generally support sequence-to-sequence mapping, sequence tagging, sequence classification, language modeling. Models are described with code to allow training custom architectures and overriding default behavior. For example...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Power Up Your AI with Databricks – Free Trial Icon
    Power Up Your AI with Databricks – Free Trial

    Ready to revolutionize your data and AI game? Test Databricks free on your cloud of choice and see the difference.

    Take your data and AI to the next level with Databricks – free trial on AWS, Azure, or Google Cloud. Create production-ready Generative AI apps that are accurate, secure, and tailored to your business. Simplify data ingestion from hundreds of sources with effortless ETL automation. Plus, tap into instant, elastic serverless compute during your trial (available on AWS/Azure). Sign up with your work email now to unlock premium trial perks and transform how you work with data – don’t wait!
    Get Started
  • 10
    ui-lottie

    ui-lottie

    NativeScript plugin to expose Airbnb Lottie

    ui-lottie is a NativeScript plugin for rendering Lottie animations, a library for rendering vector-based animations with minimal performance impact.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Miracode

    Miracode

    A sharp, readable, vector-y version of Monocraft

    A web-based code editor with support for multiple programming languages, designed for collaborative projects.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12
    DBreeze Database

    DBreeze Database

    C# .NET NOSQL ( key value store embedded ) ACID database

    DBreeze Database is a professional, open-source, multi-paradigm (embedded Key-Value store, objects, NoSql, text search, multi-parameter search, embedding vector database, vector similarity search/clustering, etc.), multi-threaded, transactional and ACID-compliant data management system for .NET5> / .NET Framework 3.5> / Xamarin MONO Android iOS / .NET Core 1.0> / .NET Standard 1.6> / Universal Windows Platform / .NET Portable / UNITY / CoreRT.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    Alibi Detect

    Alibi Detect

    Algorithms for outlier, adversarial and drift detection

    Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series. Both TensorFlow and PyTorch backends are supported for drift detection.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    SageMaker Inference Toolkit

    SageMaker Inference Toolkit

    Serve machine learning models within a Docker container

    ... the container is deployed. Containerizing your model and code enables fast and reliable deployment of your model. The SageMaker Inference Toolkit implements a model serving stack and can be easily added to any Docker container, making it deployable to SageMaker. This library's serving stack is built on Multi Model Server, and it can serve your own models or those you trained on SageMaker using machine learning frameworks with native SageMaker support.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    Elastiknn

    Elastiknn

    Elasticsearch plugin for nearest neighbor search

    Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity searches using exact and approximate algorithms. Methods like word2vec and convolutional neural nets can convert many data modalities (text, images, users, items, etc.) into numerical vectors, such that pairwise distance computations on the vectors correspond to semantic similarity of the original data. Elasticsearch is a ubiquitous search solution, but its support for vectors is limited. This plugin fills...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    FreqTables.jl

    FreqTables.jl

    Frequency tables in Julia

    This package allows computing one- or multi-way frequency tables (a.k.a. contingency or pivot tables) from any type of vector or array. It includes support for CategoricalArray and Tables.jl compliant objects, as well as for weighted counts.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    Sonic Agent

    Sonic Agent

    Agent of Sonic cloud real machine platform

    Agent of Sonic Cloud Real Machine Platform. Sonic is a platform that integrates remote control debugging and automated testing of mobile devices, and strives to create a better use experience for global developers and test engineers.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    NVIDIA FLARE

    NVIDIA FLARE

    NVIDIA Federated Learning Application Runtime Environment

    NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    Foolbox

    Foolbox

    Python toolbox to create adversarial examples

    Foolbox: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX. Foolbox 3 is built on top of EagerPy and runs natively in PyTorch, TensorFlow, and JAX. Foolbox provides a large collection of state-of-the-art gradient-based and decision-based adversarial attacks. Catch bugs before running your code thanks to extensive type annotations in Foolbox. Foolbox is a Python library that lets you easily run adversarial attacks against machine...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    AutoKeras

    AutoKeras

    AutoML library for deep learning

    AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the best...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    CatBoost

    CatBoost

    High-performance library for gradient boosting on decision trees

    CatBoost is a fast, high-performance open source library for gradient boosting on decision trees. It is a machine learning method with plenty of applications, including ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. CatBoost offers superior performance over other GBDT libraries on many datasets, and has several superb features. It has best in class prediction speed, supports both numerical and categorical features, has a fast and scalable GPU...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    PaddlePaddle

    PaddlePaddle

    PArallel Distributed Deep LEarning: Machine Learning Framework

    PaddlePaddle is an open source deep learning industrial platform with advanced technologies and a rich set of features that make innovation and application of deep learning easier. It is the only independent R&D deep learning platform in China, and has been widely adopted in various sectors including manufacturing, agriculture and enterprise service. PaddlePaddle covers core deep learning frameworks, basic model libraries, end-to-end development kits and more, with support for both dynamic...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 23
    The SpeechBrain Toolkit

    The SpeechBrain Toolkit

    A PyTorch-based Speech Toolkit

    ... in a wide variety of realistic applications. SpeechBrain provides different models for speaker recognition, including X-vector, ECAPA-TDNN, PLDA, and contrastive learning. Spectral masking, spectral mapping, and time-domain enhancement are different methods already available within SpeechBrain. Separation methods such as Conv-TasNet, DualPath RNN, and SepFormer are implemented as well. SpeechBrain provides efficient and GPU-friendly speech augmentation pipelines and acoustic features extraction.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 24
    Gorgonia

    Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go

    Write and evaluate mathematical equations involving multidimensional arrays easily. Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow. The primary goal for Gorgonia is to be a highly performant machine learning/graph...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 25
    Rubix ML

    Rubix ML

    A high-level machine learning and deep learning library for PHP

    Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. Our intuitive interface is quick to grasp while hiding alot...
    Downloads: 0 This Week
    Last Update:
    See Project