Showing 897 open source projects for "encoding"

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    Top-Rated Free CRM Software

    216,000+ customers in over 135 countries grow their businesses with HubSpot

    HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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    Red Hat Ansible Automation Platform on Microsoft Azure

    Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

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  • 1
    Moquette Project

    Moquette Project

    Java MQTT lightweight broker

    JVM lightweight MQTT broker for the Internet of Things. Simply embeddable in your IoT projects. Moquette aims to be a MQTT compliant broker. The broker supports QoS 0, QoS 1 and QoS 2. Its designed to be evented, uses Netty for the protocol encoding and decoding part.
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  • 2
    hackney

    hackney

    simple HTTP client in Erlang

    hackney is an HTTP client library for Erlang. No message passing (except for asynchronous responses): response is directly streamed to the current process and state is kept in a #client{} record. Binary streams, SSL support, keepalive handling, basic authentication. Stream the response and the requests, fetch a response asynchronously, multipart support (streamed or not), and chunked encoding support. It can send files using the sendfile API. Optional socket pool, REST syntax, hackney, Method...
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  • 3
    Streamline Analyst

    Streamline Analyst

    AI agent that streamlines the entire process of data analysis

    Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates all the tasks such as data cleaning, preprocessing, and even complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless.
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  • 4
    actions/github-script

    actions/github-script

    Write workflows scripting the GitHub API in JavaScript

    ... return value of the function is set as the "result" in the output of a github-script step. For some workflows, string encoding is preferred. This option can be set using the result-encoding input. By default, requests made with the github instance will not be retried. You can configure this with the retries option.
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    Manage your IT department more effectively

    Streamline your business from end to end with ConnectWise PSA

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  • 5
    Nette Utility Classes

    Nette Utility Classes

    Lightweight utilities for string & array manipulation, image handling

    In package nette/utils you will find a set of useful classes for everyday use. Lightweight utilities for string & array manipulation, image handling, safe JSON encoding/decoding, validation, slug or strong password generating etc.
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  • 6
    Sonic JSON

    Sonic JSON

    A blazingly fast JSON serializing & deserializing library

    A blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data).
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  • 7
    rtmp-rtsp-stream-client-java

    rtmp-rtsp-stream-client-java

    Library to stream in rtmp and rtsp for Android. All code in Java

    Library for streaming in RTMP and RTSP. All code in Java.
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  • 8
    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...
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  • 9
    compress

    compress

    Optimized Go Compression Packages

    This package provides various compression algorithms. zstandard compression and decompression in pure Go. S2 is a high-performance replacement for Snappy. Optimized deflate packages which can be used as a dropin replacement for gzip, zip and zlib. snappy is a drop-in replacement for github.com/golang/snappy offering better compression and concurrent streams. huff0 and FSE implementations for raw entropy encoding. gzhttp Provides client and server wrappers for handling gzipped requests...
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    Eptura Workplace Software

    From desk booking and visitor management, to space planning and office utilization data, Eptura Workplace helps your entire organization work smarter.

    With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
  • 10
    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared...
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  • 11
    Aeron

    Aeron

    Efficient UDP unicast, UDP multicast, and IPC message transport

    ... consensus algorithm. Performance is the key focus. A design goal for Aeron is to be the highest throughput with the lowest and most predictable latency of any messaging system. Aeron integrates with Simple Binary Encoding (SBE) for the best possible message encoding and decoding performance. Many of the data structures used in the creation of Aeron have been factored out to the Agrona project.
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  • 12
    Alamofire

    Alamofire

    Elegant HTTP Networking in Swift

    Alamofire is an elegant, open source HTTP networking library written in Swift. It gives you an elegant interface on top of Apple’s URL loading system provided by the Foundation framework. It wraps the URLSession API among others in an easy-to-use interface and provides additional functionality required of modern application development using HTTP networking. Alamofire offers plenty of features, including Chainable Request / Response Methods, URL / JSON Parameter Encoding, Authentication...
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  • 13
    python-bibtexparser v2

    python-bibtexparser v2

    Bibtex parser for Python 3

    Welcome to python-bibtexparser, a parser for .bib files with a long history and wide adaption. Bibtexparser is available in two versions: V1 and V2. For new projects, we recommend using v2 which, in the long run, will provide an overall more robust and faster experience. For now, however, note that v2 is an early beta, and does not contain all features of v1.
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  • 14
    Finch.jl

    Finch.jl

    Sparse tensors in Julia and more

    Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code.
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  • 15
    simplejson

    simplejson

    simplejson is a simple, fast, extensible JSON encoder/decoder

    simplejson is a simple, fast, complete, correct and extensible JSON <http://json.org> encoder and decoder for Python 3.3+ with legacy support for Python 2.5+. It is pure Python code with no dependencies but includes an optional C extension for a serious speed boost. simplejson is the externally maintained development version of the json library included with Python (since 2.6). This version is tested with the latest Python 3.8 and maintains backward compatibility with Python 3.3+ and the...
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  • 16
    Agrona

    Agrona

    High Performance data structures and utility methods for Java

    Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java. Many of these utilities are used in the Aeron efficient reliable UDP unicast, multicast, and IPC message transport and provides high-performance buffer implementations to support the Simple Binary Encoding Message Codec.
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  • 17
    Yams

    Yams

    A Sweet and Swifty YAML parser

    A sweet and swifty YAML parser built on LibYAML. Building Yams requires Xcode 12.5+ or a Swift 5.4+ toolchain with the Swift Package Manager or CMake and Ninja. CMake 3.17.2 or newer is required, along with Ninja 1.9.0 or newer. To build for Apple platforms (macOS, iOS, tvOS, watchOS), there is no need to separately build Foundation because it is included as part of the SDK. Yams has three groups of conversion APIs: one for use with Codable types, another for Swift Standard Library types,...
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  • 18
    Typhon

    Typhon

    A wrapper around Go's net/http to provide safety and convenience

    Typhon is a wrapper around Go's net/http library that we use at Monzo to build RPC servers and clients in our microservices platform. A wrapper around Go's net/http to provide safety and convenience. At Monzo, Typhon forms the basis of most clients and servers in our microservices platform. Forgetting to body.Close() in a client when the body has been dealt with is a common source of resource leaks in Go programs in our experience. Typhon ensures that – unless you're doing something really...
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  • 19
    eslint-plugin-unicorn

    eslint-plugin-unicorn

    More than 100 powerful ESLint rules

    More than 100 powerful ESLint rules. You might want to check out XO, which includes this plugin. Each rule has emojis denoting if it belongs to the recommended configuration if some problems reported by the rule are automatically fixable by the --fix command line option, or if some problems reported by the rule are manually fixable by editor suggestions. Use a preset config or configure each rules in package.json.
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  • 20
    gRPC Elixir

    gRPC Elixir

    An Elixir implementation of gRPC

    The Gun library doesn't have a full 2.0 release yet, so we depend on :grcp_gun 2.0.1 for now. This is the same as :gun 2.0.0-rc.2, but Hex doesn't let us depend on RC versions for releases. Generate Elixir code from the proto file as protobuf-elixir shows(especially the gRPC Support section). Implement the server-side code and remember to return the expected message types. You can start the gRPC server as a supervised process. First, add GRPC.Server.Supervisor to your supervision tree.
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  • 21
    UltraJSON

    UltraJSON

    Ultra fast JSON decoder and encoder written in C with Python bindings

    UltraJSON is an ultra-fast JSON encoder and decoder written in pure C with bindings for Python 3.7+. May be used as a drop-in replacement for most other JSON parsers for Python. Used to enable special encoding of "unsafe" HTML characters into safer Unicode sequences. Limits output to ASCII and escapes all extended characters above 127. Default is True. If your end format supports UTF-8, setting this option to false is highly recommended to save space. By default, debugging symbols are stripped...
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  • 22
    SentencePiece

    SentencePiece

    Unsupervised text tokenizer for Neural Network-based text generation

    SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre...
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  • 23
    Yazi

    Yazi

    Blazing fast terminal file manager written in Rust, based on async I/O

    Blazing fast terminal file manager written in Rust, based on async I/O. All I/O operations are asynchronous, CPU tasks are spread across multiple threads, making the most of available resources. Provides real-time progress updates, task cancellation, and internal task priority assignments. Also integrated with Überzug++, covering almost all terminals. Combined with the pre-caching mechanism, greatly accelerates image and normal file loading. Provides real-time progress updates, task...
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  • 24
    AutoMLPipeline.jl

    AutoMLPipeline.jl

    Package that makes it trivial to create and evaluate machine learning

    ... (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling.
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  • 25
    jsoniter-scala

    jsoniter-scala

    Scala macros for compile-time generation of safe and ultra-fast JSON

    Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide...
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