Search Results for "support vector machine" - Page 9
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Showing 417 open source projects for "support vector machine"
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Inform
The core software distribution for the Inform 7 programming language
Inform is the core distribution of a powerful programming language and design system created for writing interactive fiction, where authors describe stories as text adventure games that players explore through typed commands. The language is distinctive for its natural-language-inspired syntax that reads almost like English, allowing storytellers to define rooms, objects, characters, and narrative logic in an intuitive way that emphasizes expressive clarity and literary structure. When you... -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. ... -
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X11-Basic
A BASIC interpreter and compiler with graphics.
X11-Basic is a dialect of the BASIC programming language with graphics capability that integrates features like shell scripting, cgi-Programming and full graphical visualisation into the easy to learn basic language on modern computers. -
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Cyclops
An advanced platform for writing functional applications in Java 8
Fast purely functional datastructures (Vector, Seq / List, LazySeq / LazyList, NonEmptyList, HashSet, TreeSet, TrieSet, HashMap, LinkedMap, MultiMap, TreeMap, BankersQueue, LazyString, Discrete Interval Encoded Tree, Zipper, Range, Tree, DifferenceList, HList, Dependent Map). Structural Pattern Matching API (deconstruct algebraic product and sum types). Improved type safety via the removal of unsafe APIs -- E.g. -
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Flashlight library
A C++ standalone library for machine learning
Flashlight is a fast, flexible machine learning library written entirely in C++ by Facebook AI Research and the creators of Torch, TensorFlow, Eigen, and Deep Speech. Native support in C++ and simple extensibility make Flashlight a powerful research framework that's hackable to its core and enables fast iteration on new experimental setups and algorithms with little unopinionated and without sacrificing performance. -
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SoloPi
SoloPi Automated Testing Tool
SoloPi is a wireless, non-intrusive Android automation tool. The public beta version has three main functions: recording and playback, performance testing, and multiple controls on one machine, which can save valuable time for test developers. SoloPi has the ability to record operations. Users only need to execute the use case steps through SoloPi, and SoloPi can record the user's operations and support playback on various devices, all of which can be done independently on the mobile phone. See the recording and playback section for details. ... -
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pyTorch Tutorials
Build your neural network easy and fast
pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks,... -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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OpenPrompt
An Open-Source Framework for Prompt-Learning
Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other... -
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Twemoji
Simple library that provides standard Unicode emoji for all platforms
Twitter’s open source emoji has you covered for all your project's emoji needs. With support for the latest Unicode emoji specification, featuring 3,245 emojis, and all for free. As an open source project, attribution is critical from a legal, practical and motivational perspective in our opinion. The graphics are licensed under the CC-BY 4.0 which has a pretty good guide on best practices for attribution. Although there are two kinds of parsing supported by this utility, we recommend you... -
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SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
A library of additional estimators and SageMaker tools based on scikit-learn. This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the mlio version 0.7 package via conda. ... -
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Graph4NLP
Graph4nlp is the library for the easy use of Graph Neural Networks
Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP). It provides both full implementations of state-of-the-art models for data scientists and also flexible interfaces to build customized models for researchers and developers with whole-pipeline support. Built upon highly-optimized runtime libraries including DGL , Graph4NLP has both high running efficiency and great extensibility. The architecture of... -
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printpdf
Rust / WASM library for reading, writing and rendering PDF
printpdf is a Rust library for creating, reading, writing, and rendering PDF documents, providing developers with fine-grained control over document generation and layout. It supports a wide range of PDF features, including pages, layers, annotations, vector graphics, images, and embedded fonts, allowing the creation of complex and professional documents. The library emphasizes manual positioning of elements, giving developers precise control over layout and rendering rather than relying on high-level abstractions. It includes advanced typography capabilities such as character spacing, scaling, superscript, and subscript, as well as support for Unicode text. printpdf also offers optimization features like font subsetting to reduce file size, making generated PDFs more efficient. ... -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results. ... -
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Sentinel Golang
Sentinel Go enables reliability and resiliency for Go microservices
As distributed systems become increasingly popular, the reliability between services is becoming more important than ever before. Sentinel takes "flow" as the breakthrough point and works on multiple fields including flow control, circuit breaking and system adaptive protection, to guarantee the reliability and resiliency of microservices. Rich applicable scenarios: Sentinel has been wildly used in Alibaba, and has covered almost all the core-scenarios in Double-11 (11.11) Shopping Festivals... -
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SharkLinux
Virtualization Focused OS & Cloud Compatible Desktop Environment
SharkLinux is a 64 bit Linux Desktop that specializes in virtualization. The OS is based on Ubuntu 20.04 and features a custom MATE/XFCE desktop capable of running on a cloud server with little impact on performance. The OS runs KVM as the primary hypervisor and provides a wide range of tools to build and run VM's and containers. SharkLinux has several distinct qualities from other Linux systems such as; automatic system upgrades, sudo users can run shell commands without a password.... -
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Bareflank Hypervisor
lightweight hypervisor SDK written in C++
The Bareflank Hypervisor is an open source hypervisor Software Development Toolkit (SDK) for Rust and C++, led by Assured Information Security, Inc. (AIS), that provides the tools needed to rapidly prototype and create your own hypervisor on 64bit versions of Intel and AMD (ARMv8 CPUs, RISC-V and PowerPC also planned). The Bareflank SDK is intended for instructional/research purposes as it only provides enough virtualization support to start/stop a hypervisor. Bareflank can also be used as... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. ... -
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TensorRT Pro
C++ library based on tensorrt integration
High-level interface for C++/Python. Simplify the implementation of the custom plugin. And serialization and deserialization have been encapsulated for easier usage. Simplify the compilation of fp32, fp16 and int8 for facilitating the deployment with C++/Python in server or embedded device. Models ready for use also with examples are RetinaFace, Scrfd, YoloV5, YoloX, Arcface, AlphaPose, CenterNet and DeepSORT(C++). -
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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Hyperledger Burrow
A permissioned Ethereum smart-contract blockchain node
Hyperledger Burrow is a permissioned Ethereum smart-contract blockchain node. It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web... -
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GoSpider
Gospider - Fast web spider written in Go
...Parse robots.txt. Generate and verify link from JavaScript files. Link Finder. Find AWS-S3 from response source. Find subdomains from the response source. Get URLs from Wayback Machine, Common Crawl, Virus Total, Alien Vault. Format output easy to Grep. Support Burp input. Crawl multiple sites in parallel. -
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libpostal
A C library for parsing/normalizing street addresses around the world
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services,... -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to...