Showing 1944 open source projects for "learn"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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    MongoDB Atlas runs apps anywhere

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  • 1
    vJEPA-2

    vJEPA-2

    PyTorch code and models for VJEPA2 self-supervised learning from video

    ...Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The architecture is designed to scale: spatiotemporal ViT backbones, flexible masking schedules, and efficient sampling let it train on long clips while remaining stable. Trained representations transfer well to downstream tasks such as action recognition, temporal localization, and video retrieval, often with simple linear probes or light fine-tuning. ...
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  • 2
    Large Concept Model

    Large Concept Model

    Language modeling in a sentence representation space

    ...It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically from large image–text or weakly supervised corpora. It includes utilities to build concept vocabularies, map supervision signals to those vocabularies, and measure zero-shot or few-shot generalization. Probing tools help diagnose what the model knows—e.g., attribute recognition, relation understanding, or compositionality—so you can iterate on data and objectives. ...
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  • 3
    Office Docs PowerShell

    Office Docs PowerShell

    PowerShell Reference for Office Products

    This repository aggregates documentation, examples, and cmdlet references for PowerShell modules that manage Microsoft 365 and Office services. It collects guidance for admins on tasks such as Exchange Online mail flow, SharePoint site provisioning, Teams configuration, and tenant-level policy settings—often including parameter examples, common scenarios, and troubleshooting notes. The docs are structured so operators can copy/paste ready examples into their automation scripts or adapt them...
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  • 4
    WrenAI

    WrenAI

    Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy

    ...Wren AI has implemented a semantic engine architecture to provide the LLM context of your business; you can easily establish a logical presentation layer on your data schema that helps LLM learn more about your business context. With Wren AI, you can process metadata, schema, terminology, data relationships, and the logic behind calculations and aggregations with “Modeling Definition Language”, to generate accurate SQL queries with semantic context. When starting a new conversation in Wren AI, your question is used to find the most relevant tables. ...
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  • 5
    Better Stack JavaScript client

    Better Stack JavaScript client

    Better Stack JavaScript client

    ...See what metrics your teammates are looking at, comment on note-worthy data spikes and share log fragments with one click. Building a great software is a multiplayer game. Get answers fast with a powerful SQL query builder. No need to learn a new querying language or ask your data analyst.
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  • 6
    rehype

    rehype

    HTML processor powered by plugins part of the @unifiedjs collective

    rehype is a tool that transforms HTML with plugins. These plugins can inspect and change the HTML. You can use rehype on the server, the client, CLIs, deno, etc. rehype is an ecosystem of plugins that work with HTML as structured data, specifically ASTs (abstract syntax trees). ASTs make it easy for programs to deal with HTML. We call those programs plugins. Plugins inspect and change trees. You can use the many existing plugins or you can make your own. You can use rehype for many different...
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  • 7
    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 learning workloads from research and simulation to real-world production deployment.
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  • 8
    Observable Plot

    Observable Plot

    A concise API for exploratory data visualization

    Observable Plot is a free, open-source JavaScript library to help you quickly visualize tabular data. It has a concise and (hopefully) memorable API to foster fluency — and plenty of examples to learn from and copy-paste. In the spirit of show don’t tell, below is a scatterplot of the height and weight of Olympic athletes (sourced from Matt Riggott), constructed using a dot mark. We assign columns of data (such as weight) to visual properties (such as the dot’s x), and Plot infers the rest. You can configure much more, if needed, but Plot’s goal is to help you get a meaningful visualization quickly. ...
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  • 9
    Solid

    Solid

    A declarative JavaScript library for building user interfaces

    ...Render-once mental model: your components are regular JavaScript functions that run once to set up your view. Automatic dependency tracking: accessing your reactive state subscribes to it. Small and fast. Simple: learn a few powerful concepts that can be reused, combined, and built on top of. Provides modern framework features like JSX, fragments, Context, Portals, Suspense, streaming SSR, progressive hydration, Error Boundaries and concurrent rendering.
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

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  • 10
    Bootstrap Native

    Bootstrap Native

    If you are looking for Bootstrap without jQuery, this is it.

    ...If you mainly use Bootstrap plugins for your projects, why not use a much lighter, potentially faster library, see a different perspective on the same challenges, interact with a less crowded community, and get a better chance to learn or say hi! The Alert component covers the specific original events and public methods, but just like the original plugin, does not provide any initialization option.
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  • 11
    RaspiBolt

    RaspiBolt

    Bitcoin & Lightning full node on a Raspberry Pi

    Build your own “do-everything-yourself” Bitcoin full node that will make you a sovereign peer in the Bitcoin and Lightning network. With this guide, you can set up a Bitcoin and Lightning node from scratch, doing everything yourself. You will learn about Linux, Bitcoin, and Lightning. As a result, you’ll have your very own RaspiBolt node, built by you and no one else. Let your node validate your own Bitcoin transactions. No need to ask someone else to tell you what’s happening in the Bitcoin network. Connect your wallets to your node so that you no longer need to reveal their whole financial history to external servers. ...
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  • 12
    ASP.NET API Versioning

    ASP.NET API Versioning

    Libraries which add service API versioning to ASP.NET Web API

    ...The API versioning extensions define simple metadata attributes and conventions that you use to describe which API versions are implemented by your services. You don't need to learn any new routing concepts or change the way you implement your services in ASP.NET today. The default API versioning configuration is compliant with the versioning semantics outlined by the Microsoft REST Guidelines. There are also a number of customization and extension points available to support transitioning services that may not have supported API versioning in the past or supported API versioning with semantics that are different from the Microsoft REST versioning guidelines.
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  • 13
    chai

    chai

    BDD / TDD assertion framework for node.js

    ...Browse our growing directory of custom plugins & vendor integrations to find the best tool for your needs. Chai has an extensive utility belt for plugin developers. Learn how to build your plugins & share.
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  • 14
    GraphQL Java Tools

    GraphQL Java Tools

    A schema-first tool for graphql-java inspired by graphql-tools for JS

    This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. GraphQL Java Tools aims for seamless integration with Java, but works for any...
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  • 15
    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI swift async text to image for SwiftUI app using OpenAI

    ...In machine learning, diffusion models, also known as diffusion probabilistic models, are a class of latent variable models. They are Markov chains trained using variational inference. The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space.
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  • 16
    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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  • 17
    Datasets

    Datasets

    Hub of ready-to-use datasets for ML models

    Datasets is a library for easily accessing and sharing datasets, and evaluation metrics for Natural Language Processing (NLP), computer vision, and audio tasks. Load a dataset in a single line of code, and use our powerful data processing methods to quickly get your dataset ready for training in a deep learning model. Backed by the Apache Arrow format, process large datasets with zero-copy reads without any memory constraints for optimal speed and efficiency. We also feature a deep...
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  • 18
    cuDF

    cuDF

    GPU DataFrame Library

    Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming. For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed...
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  • 19
    CoreUI Free Vue Admin Template v4

    CoreUI Free Vue Admin Template v4

    Open source admin template based on Bootstrap 5 and Vue 3

    Time is our most valuable asset, that's why we want to help you save it by creating simple, customizable, easy-to-learn Vue.js UI components and Vue.js Admin Templates which significantly cut development time. CoreUI lets you save thousands of priceless hours because it offers everything you need to create modern, beautiful, and responsive Vue.js-based applications. CoreUI is meant to be the UX game changer. Pure & transparent code is devoid of redundant components, so the app is light enough to offer the ultimate user experience. ...
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  • 20
    aws-devops-zero-to-hero

    aws-devops-zero-to-hero

    AWS zero to hero repo for devops engineers to learn AWS in 30 Days

    aws-devops-zero-to-hero is a 30-day AWS learning roadmap aimed squarely at DevOps engineers who want both conceptual understanding and hands-on projects. The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services. Each day mixes explanation with at least one concrete project or lab, such as deploying applications on EC2, designing secure VPCs,...
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  • 21
    Rhino

    Rhino

    On-device Speech-to-Intent engine powered by deep learning

    ...Develop voice features with a few lines of code using intuitive and cross-platform SDKs. Deliver voice AI everywhere: on-device, mobile, web browsers, on-premise, or cloud. Measure adoption, learn, and iterate. Continuously re-design and re-train to optimize engagement. Building accurate, responsive, and private voice technology is difficult. We learned the hard way, so you don’t have to. Picovoice heavily invests in R&D to offer superior voice AI that surpasses even Big Tech in accuracy and efficiency. Picovoice researchers do not follow recent frameworks and techniques but build them.
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  • 22
    Apollo Angular

    Apollo Angular

    A fully-featured, production ready caching GraphQL client

    Apollo Angular allows you to fetch data from your GraphQL server and use it in building complex and reactive UIs using the Angular framework. Apollo Angular may be used in any context that Angular may be used. In the browser, in NativeScript, or in Node.js when you want to do server-side rendering. Apollo Angular requires no complex build setup to get up and running. As long as you have a GraphQL server you can get started building out your application with Angular immediately. Apollo...
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  • 23
    Deep Java Library (DJL)

    Deep Java Library (DJL)

    An engine-agnostic deep learning framework in Java

    ...DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. ...
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  • 24
    Magit

    Magit

    A Git porcelain inside Emacs

    ...Magit looks like a prettified version of what you get after running a few Git commands but in Magit every bit of visible information is also actionable to an extent that goes far beyond what any Git GUI provides and it takes care of automatically refreshing this output when it becomes outdated. In the background Magit just runs Git commands and if you wish you can see what exactly is being run, making it possible for you to learn the git command-line by using Magit. Using Magit for a while will make you a more effective version control user. Magit supports and streamlines the use of Git features that most users and developers of other Git clients apparently thought could not be reasonably mapped to a non-command-line interface.
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  • 25
    Fiber

    Fiber

    Express inspired web framework written in Go

    An Express-inspired web framework written in Go. Fiber is a Go web framework built on top of Fasthttp, the fastest HTTP engine for Go. It's designed to ease things up for fast development with zero memory allocation and performance in mind. Setting up routes for your application has never been so easy! The Express-like route definitions are easy to understand and work with. Serve your static HTML, CSS, and JavaScript files with ease by defining static routes. You can also serve the contents...
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