Showing 894 open source projects for "improve"

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  • 1
    Sisk Framework

    Sisk Framework

    Sisk's request and response processor mainframe source code

    ..., stable results. The entire Sisk ecosystem is less than 500 KB in size. The entire Sisk ecosystem is open source, and all the libraries and technologies we use are also open source. Sisk is entirely distributed under the MIT License, which allows commercial development. You are the one who makes the project, Sisk gives you the tools. Because it is open source, the community (including you) can maintain, fix bugs, and improve Sisk over time.
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  • 2
    React Native Auth0

    React Native Auth0

    React Native toolkit for Auth0 API

    ... Okta and Auth0 have joined forces. Because we know together we can help you build a better solution for Customer Identity (CIAM) that will reduce security and compliance risks, improve your UX, and help your developers maximize their time.
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  • 3
    Speedb

    Speedb

    A RocksDB compliant high performance scalable embedded key-value store

    The next-generation key-value storage engine.bSpeedb is 100% RocksDB compatible enhancing stability, efficiency, and overall performance. Join the Hive, Speedb’s open-source community, to interact, improve, and share knowledge and best practices on RocksDB. Speedb is a compatible alternative for LevelDB and RocksDB users who would like to take their application to the next level. When using event streaming platforms like Kafka, Flink, Spark, Splunk, Elastic, or others, consider using Speedb...
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  • 4
    airda

    airda

    airda(Air Data Agent

    airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes.
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  • Bright Data - All in One Platform for Proxies and Web Scraping Icon
    Bright Data - All in One Platform for Proxies and Web Scraping

    Say goodbye to blocks, restrictions, and CAPTCHAs

    Bright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
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  • 5
    OpenLoco

    OpenLoco

    An open source re-implementation of Chris Sawyer's Locomotion

    An open source re-implementation of Chris Sawyer's Locomotion. A construction and management simulation video game that simulates running a transport company. OpenLoco is an open-source re-implementation of Chris Sawyer's Locomotion (CSL), the spiritual successor to Transport Tycoon. OpenLoco aims to improve the game similar to how OpenTTD improved Transport Tycoon, and OpenRCT2 improved RollerCoaster Tycoon. CSL was originally written in x86 assembly, building on top of the RollerCoaster...
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  • 6
    Pedalboard

    Pedalboard

    A Python library for audio

    ... is used for data augmentation to improve machine learning models and to help power features like Spotify’s AI DJ and AI Voice Translation. pedalboard also helps in the process of content creation, making it possible to add effects to audio without using a Digital Audio Workstation.
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  • 7
    Featuretools

    Featuretools

    An open source python library for automated feature engineering

    An open source Python framework for automated feature engineering. Featuretools automatically creates features from temporal and relational datasets. Featuretools uses DFS for automated feature engineering. You can combine your raw data with what you know about your data to build meaningful features for machine learning and predictive modeling. Featuretools provides APIs to ensure only valid data is used for calculations, keeping your feature vectors safe from common label leakage problems....
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  • 8
    OpenLIT

    OpenLIT

    OpenLIT is an open-source LLM Observability tool

    ... your applications are monitored seamlessly, providing critical insights including GPU performance stats for self-hosted LLMs to improve performance and reliability. This project proudly follows the Semantic Conventions of the OpenTelemetry community, consistently updating to align with the latest standards in observability.
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  • 9
    Ravi Programming Language

    Ravi Programming Language

    Ravi is a dialect of Lua, featuring limited optional static typing

    Ravi Programming Language is a derivative of Lua 5.3 with limited optional static typing and MIR-based JIT compiler. Ravi is a derivative/dialect of Lua with limited optional static typing and JIT/AOT compilers. The name Ravi comes from the Sanskrit word for the Sun. Lua is perfect as a small embeddable dynamic language so why a derivative? Ravi extends Lua with static typing for greater performance under JIT compilation. However, static typing is optional and therefore Lua 5.3 programs are...
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  • 10
    WhichBrowser

    WhichBrowser

    Browser sniffing gone too far — A useragent parser library for PHP

    This is an extremely complicated and almost completely useless browser-sniffing library. Useless because you shouldn't use browser sniffing. So stop right now and go read something about feature detecting instead. I'm serious. Go away. You'll thank me later. There is always an exception to the rule. There are valid reasons to do browser sniffing: to improve the user experience or to gather intelligence about which browsers are used on your website. My website is html5test.com and I wanted...
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  • 11
    timoni

    timoni

    Timoni is a package manager for Kubernetes, powered by CUE

    Timoni is a package manager for Kubernetes, powered by CUE and inspired by Helm. The Timoni project strives to improve the UX of authoring Kubernetes configs. Instead of mingling Go templates with YAML like Helm, or layering YAML on top of each-other like Kustomize, Timoni relies on cuelang's type safety, code generation and data validation features to offer a better experience of creating, packaging and delivering apps to Kubernetes. Note that Timoni in under active development and is still...
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  • 12
    Kong Ingress Controller Kubernetes (KIC)

    Kong Ingress Controller Kubernetes (KIC)

    Kong for Kubernetes: The official Ingress Controller for Kubernetes

    Kong Ingress Controller allows you to run Kong Gateway as a Kubernetes Ingress to handle inbound requests for a Kubernetes cluster. Kong Ingress Controller takes Kubernetes resources such as Ingress and HTTPRoute and converts them into a valid Kong Gateway configuration. It enables you to use all the features of Kong Gateway. A Kubernetes ingress controller is an application that runs in a cluster and configures a load balancer based on Kubernetes resources (Ingress, HTTPRoute, TCPRoute, and...
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  • 13
    ChaosBlade

    ChaosBlade

    An easy to use and powerful chaos engineering experiment toolkit

    ChaosBlade is an Alibaba open source experimental injection tool that follows the principles of chaos engineering and chaos experimental models to help enterprises improve the fault tolerance of distributed systems and ensure business continuity during the process of enterprises going to cloud or moving to cloud-native systems. Chaosblade is an internal open-source project of MonkeyKing. It is based on Alibaba's nearly ten years of failure testing and drill practice and combines the best ideas...
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  • 14
    UpTrain

    UpTrain

    Your open-source LLM evaluation toolkit

    Get scores for factual accuracy, context retrieval quality, guideline adherence, tonality, and many more. You can’t improve what you can’t measure. UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any regressions with automatic root cause analysis. UpTrain enables fast and robust experimentation across multiple prompts, model providers, and custom configurations, by calculating quantitative scores for direct comparison...
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  • 15
    Spectral

    Spectral

    A flexible JSON/YAML linter for creating automated style guides

    An open-source API style guide enforcer and linter. Why write API Style Guides as lengthy manifestos when you could automate them? Make sure APIs are secure, consistent, and useful. Spectral is open-source but is also baked into Stoplight, with extensions for VS Code and other integration options, giving you real-time feedback wherever you design APIs. Spectral can be used as a generic ruleset engine on any JSON or YAML data but was built with OpenAPI, AsyncAPI, and JSON Schema in mind. Use...
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  • 16
    Chinese-LLaMA-Alpaca 2

    Chinese-LLaMA-Alpaca 2

    Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project

    This project is developed based on the commercially available large model Llama-2 released by Meta. It is the second phase of the Chinese LLaMA&Alpaca large model project. The Chinese LLaMA-2 base model and the Alpaca-2 instruction fine-tuning large model are open-sourced. These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding...
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  • 17
    Thread Affinity

    Thread Affinity

    Bind a java thread to a given core

    Lets you bind a thread to a given core, this can improve performance (this library works best on linux). Java-Thread-Affinity will try to use JNA to provide access to native thread-handling functions. JNA should be installed on your system to get the most from this library. Java-Thread-Affinity currently depends on JNA version 4.4.0, which in turn depends on a version of GLIBC >= 2.14. If your operating system is an old one, with a version of GLIBC released before 2011, this library...
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  • 18
    blockfrost-js

    blockfrost-js

    Node.js SDK for the Blockfrost.io API

    To run the SDK you need Node.js version 16 and higher. While you may find a way to run it directly in a browser, we don't actively support or provide troubleshooting assistance with this scenario. We recommend setting up your own Node.js backend. Exposing your API keys in a frontend application is almost always a bad idea. Using the SDK is pretty straight-forward as you can see from the following examples. For more examples take a look in blockfrost-js-examples repository. Blockfrost Node.js...
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  • 19
    AppDevKit

    AppDevKit

    AppDevKit is an iOS development library

    AppDevKit is an iOS development library that provides developers with useful features to fulfill their everyday iOS app development needs. AppDevKit is an iOS development library that provides developers with useful features to fulfill their everyday iOS app development needs. Yahoo’s Taiwan based iOS app development team has been using this development kit for the past three years, and we plan future apps to use AppDevKit as well. Our use of this code in many apps helped improve its stability...
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  • 20
    DataQualityDashboard

    DataQualityDashboard

    A tool to help improve data quality standards in data science

    The goal of the Data Quality Dashboard (DQD) project is to design and develop an open-source tool to expose and evaluate observational data quality. This package will run a series of data quality checks against an OMOP CDM instance (currently supports v5.4, v5.3 and v5.2). It systematically runs the checks, evaluates the checks against some pre-specified threshold, and then communicates what was done in a transparent and easily understandable way. The quality checks were organized according...
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  • 21
    Phoenix

    Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative...
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  • 22
    Cleanlab

    Cleanlab

    The standard data-centric AI package for data quality and ML

    cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you...
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  • 23
    refinery

    refinery

    Open-source choice to scale, assess and maintain natural language data

    The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact. You are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate your labeling, find low-quality subsets in your training data, and monitor your data in one place. refinery doesn't get rid of manual labeling, but it makes sure that your valuable time is spent well. Also, the makers...
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  • 24
    Argilla

    Argilla

    The open-source data curation platform for LLMs

    ... libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Argilla is designed to close this gap, enabling you to iterate as much as you need.
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  • 25
    Gretel Synthetics

    Gretel Synthetics

    Synthetic data generators for structured and unstructured text

    Unlock unlimited possibilities with synthetic data. Share, create, and augment data with cutting-edge generative AI. Generate unlimited data in minutes with synthetic data delivered as-a-service. Synthesize data that are as good or better than your original dataset, and maintain relationships and statistical insights. Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports....
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