Showing 2125 open source projects for "self"

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  • 1
    Boltons

    Boltons

    250+ constructs, recipes, and snippets which extend the Python library

    ...In many cases the respective boltons module will describe 3rd-party alternatives worth investigating when use cases outgrow boltons. If you’ve found a natural “next-step” library worth mentioning, consider filing an issue! boltons has a minimalist architecture, remain as consistent, and self-contained as possible, with an eye toward maintaining its range of use cases and usage patterns as wide as possible. The boltons package depends on no packages, making it easy for inclusion into a project.
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  • 2
    Doctrine DBAL

    Doctrine DBAL

    Doctrine database abstraction layer

    ...The fact that the Doctrine DBAL abstracts the concrete PDO API away through the use of interfaces that closely resemble the existing PDO API makes it possible to implement custom drivers that may use existing native or self-made APIs. For example, the DBAL ships with a driver for Oracle databases that uses the oci8 extension under the hood. The Doctrine 2 database layer can be used independently of the object-relational mapper. In order to use the DBAL all you need is the class loader provided by Composer, to be able to autoload the classes.
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  • 3
    OpenHealth

    OpenHealth

    AI health assistant for private, local data-driven insights mgmt

    OpenHealth is an AI-powered health assistant designed to help individuals take control of their personal health data and better understand their overall well-being. It works by aggregating various types of health information, such as clinical records, wearable device data, and self-reported inputs, into a unified and structured format. OpenHealth then uses large language models to enable contextual conversations, allowing users to interact with their own health data in a more intuitive and personalized way. A strong emphasis is placed on privacy, as the platform can run entirely locally, ensuring that sensitive medical data does not need to leave the user’s environment. ...
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  • 4
    autoresearch

    autoresearch

    AI agents autonomously run and improve ML experiments overnight

    ...The system centers on a simple workflow where the agent modifies a single training file while human researchers guide the process through a program.md instruction file. Designed to run on a single GPU, it keeps the research loop minimal and self-contained to make autonomous experimentation practical. Over time, the agent logs experiments, evaluates improvements, and gradually evolves the model through automated trial-and-error.
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  • 5
    Pal

    Pal

    A personal context-agent that learns how you work

    Pal is an open-source AI personal agent built within the Agno ecosystem that functions as an intelligent digital assistant designed to learn from user activity over time. The system acts as an AI-powered “second brain” capable of capturing, organizing, and retrieving personal knowledge such as notes, bookmarks, research findings, people, and meeting information. Instead of acting as a simple chatbot, Pal continuously builds a structured database of a user’s knowledge and context so it can...
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  • 6
    IVRE

    IVRE

    Open source framework for large scale network reconnaissance and analy

    ...IVRE stores the collected data in a database and offers multiple ways to explore and analyze it, including a web interface, command line tools, and a Python API. This allows security professionals to query scan results, inspect network flows, and identify patterns across large datasets. The project can be used to build self hosted alternatives to internet scanning services such as Shodan or Censys, giving organizations full control over their own reconnaissance infrastructure.
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  • 7
    Must-Watch JavaScript

    Must-Watch JavaScript

    JavaScript talks you have to see on functional programming

    Must-Watch JavaScript is a curated list of high-quality talk videos, tutorials, and presentations about JavaScript — covering a variety of topics such as language features, best practices, frameworks, performance, tooling, and evolving JS ecosystem trends. Rather than being code-heavy, it serves as a learning resource for developers who want to gain conceptual wisdom, stay updated with JavaScript evolution, or learn from experts’ experiences and opinions. For someone who wants to deepen...
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  • 8
    Learn Regex The Easy Way

    Learn Regex The Easy Way

    Learn regex the easy way

    Learn Regex The Easy Way is a hands-on, interactive resource for learning regular expressions (regex) in a step-by-step, incremental way. Rather than just being a reference sheet, it is designed to help you build understanding gradually: you start with the basics like literal matching, then advance through character classes, quantifiers, groups, alternation, lookaheads/lookbehinds, and more advanced regex features. Each lesson is accompanied by examples and clear explanations, so learners...
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  • 9
    Professional Programming

    Professional Programming

    A collection of learning resources for curious software engineers

    ...Because it has been maintained for many years, it also acts as a kind of “canon” of articles that many engineers reference throughout their careers. The repository is especially helpful for self-taught developers or those transitioning from junior to senior roles who want a structured reading roadmap instead of random blog posts.
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  • 10
    CF-Workers-docker.io

    CF-Workers-docker.io

    Docker Warehouse Image Proxy Tool

    CF-Workers-docker.io is a project by cmliu that sets up a proxy for Docker Hub (and potentially other container image registries) using Cloudflare Workers, effectively acting as a middle-man mirror to improve image pull reliability and speed in regions where direct access is degraded. The idea is to intercept registry requests, reroute or mirror them through a worker endpoint, and therefore bypass regional limitations or firewall blocks affecting official Docker registries. Users can deploy...
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  • 11
    Homemade Machine Learning

    Homemade Machine Learning

    Python examples of popular machine learning algorithms

    homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is...
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  • 12
    Gitolite

    Gitolite

    Hosting git repositories

    ...Permissions are precise—read, write, or force-push can be allowed or denied per repository, branch, tag, or arbitrary ref patterns—so sensitive branches can be protected. Delegation features let large organizations hand off subsets of administration without giving away global control, and “wild” repositories make self-service project creation possible within policy. Hooks, logging, and auditing are baked in, giving visibility into who pushed what and when. Because it rides on plain SSH and standard Git, it’s fast, portable, and easy to host on anything from a low-power VPS to an enterprise server.
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  • 13
    Kubernetes Capsule

    Kubernetes Capsule

    Multi-tenancy and policy-based framework for Kubernetes

    Capsule implements a multi-tenant and policy-based environment in your Kubernetes cluster. It is designed as a micro-services-based ecosystem with a minimalist approach, leveraging only on upstream Kubernetes. Kubernetes introduces the Namespace object type to create logical partitions of the cluster as isolated slices. However, implementing advanced multi-tenancy scenarios, it soon becomes complicated because of the flat structure of Kubernetes namespaces and the impossibility to share...
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  • 14
    Crossplane Kubernetes

    Crossplane Kubernetes

    The Cloud Native Control Plane

    ...Crossplane is an open source, CNCF project built on the foundation of Kubernetes to orchestrate anything. Encapsulate policies, permissions, and other guardrails behind a custom API line to enable your customers to self-service without needing to become an infrastructure expert. Crossplane is designed from the ground up with extension in mind. From Providers that extend Crossplane to orchestrate new kinds of applications and infrastructure, to Configurations that extend Crossplane to expose new APIs, our community will help you find what you need to build your ideal control plane.
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  • 15
    Apache Drill

    Apache Drill

    Apache Drill is a distributed MPP query layer for self describing data

    Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. Leverage your existing SQL skillsets and BI tools including Tableau,...
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  • 16
    Merlin HTTP/2

    Merlin HTTP/2

    Merlin is a cross-platform post-exploitation HTTP/2 Command

    Merlin is a cross-platform post-exploitation Command & Control server and agent written in Go. The Merlin server is a self-contained command line program that requires no installation. You just simply download it and run it. The command-line interface only works great if it will be used by a single operator at a time. The Merlin agent can be controlled through Mythic, which features a web-based user interface that enables multiplayer support, and a slew of other features inherent to the project.
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  • 17
    Algernon

    Algernon

    Small self-contained pure-Go web server with Lua, Markdown, HTTP/2

    Web server with built-in support for QUIC, HTTP/2, Lua, Teal, Markdown, Pongo2, HyperApp, Amber, Sass(SCSS), GCSS, JSX, BoltDB (built-in, stores the database in a file, like SQLite), Redis, PostgreSQL, MariaDB/MySQL, rate limiting, graceful shutdown, plugins, users and permissions. Written in Go. Uses Bolt (built-in), MySQL, PostgreSQL or Redis (recommended) for the database backend, permissions2 for handling users and permissions, gopher-Lua for interpreting and running Lua, optional Teal...
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  • 18
    JuiceFS

    JuiceFS

    JuiceFS is a distributed POSIX file system built on top of Redis

    ...Whether it's a public cloud, private cloud, or hybrid cloud, JuiceFS is available on any cloud of your choice and delivers flexibility, availability, scalability and strong consistency for your data-intensive applications. Purposely built to serve big data scenarios such as self-driving model training, recommendation engine, and Next-generation Gene Sequencing, JuiceFS specializes in high performance and easier management of tens of billion of files management. We bring JuiceFS to developers with the hope that it will be easy to use, reliable, high-performance, and solve all your file storage problems in a cloud environment.
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  • 19
    Dream Framework

    Dream Framework

    Tidy, feature-complete Web framework

    ...Session management with pluggable back ends; and unified error handling that leaks no English strings from any level of your app. You can integrate Dream into a fully self-contained binary, or run it in large deployments behind proxies. Dream assumes no databases, environment variables, or configuration files, and requires no setup beyond installing the one package, dream. Dream sticks to base OCaml types as much as possible, introducing only a few types of its own. Dream handlers and middlewares are just bare functions. ...
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  • 20
    satellite-image-deep-learning

    satellite-image-deep-learning

    Resources for deep learning with satellite & aerial imagery

    This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful...
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  • 21
    NorthStar

    NorthStar

    Simplifies your work and ensures consistent, predictable experiences

    NorthStar aims to be the standard for rapidly prototyping intuitive, meaningful and accessible user experiences. It simplifies your work and ensures consistent, predictable experiences at scale for your customers. With NorthStar, you can focus on innovation and do more with less. The design system to rapidly prototype intuitive, meaningful and accessible user experiences at scale. Whether you are a developer or designer, NorthStar will help you delight your customers from inception to...
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  • 22
    Drone

    Drone

    Drone is a Container-Native, Continuous Delivery Platform

    Drone is a self-service Continuous Integration platform for busy development teams. Pipelines are configured with a simple, easy‑to‑read file that you commit to your git repository. Each Pipeline step is executed inside an isolated Docker container that is automatically downloaded at runtime. Drone integrates seamlessly with multiple source code management systems, including GitHub, GitHubEnterprise, Bitbucket, and GitLab.
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  • 23
    Red Programming Language

    Red Programming Language

    Red is a next-generation programming language

    Red is a next-generation programming language strongly inspired by Rebol, but with a broader field of usage thanks to its native-code compiler, from system programming to high-level scripting and cross-platform reactive GUI, while providing modern support for concurrency, all in a zero-install, zero-config, single 1MB file! During the work on the low-level parts of the new Red lexer, the need arised for intra-function factorization abilities to keep the lexer code as DRY as possible....
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  • 24
    Recommenders

    Recommenders

    Best practices on recommendation systems

    ...Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. Please see the setup guide for more details on setting up your machine locally, on a data science virtual machine (DSVM) or on Azure Databricks. Independent or incubating algorithms and utilities are candidates for the contrib folder. This will house contributions which may not easily fit into the core repository or need time to refactor or mature the code and add necessary tests.
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  • 25
    PyTorch Lightning

    PyTorch Lightning

    The lightweight PyTorch wrapper for high-performance AI research

    ...PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and production. When you need to scale up things like BERT and self-supervised learning, Lightning responds accordingly by automatically exporting to ONNX or TorchScript. PyTorch Lightning can easily be applied for any use case. With just a quick refactor you can run your code on any hardware, run distributed training, perform logging, metrics, visualization and so much more!
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