Search Results for "learn" - Page 9
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Showing 1945 open source projects for "learn"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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FoundationDB
Open source, distributed, transactional key-value store
FoundationDB gives you the power of ACID transactions in a distributed database. FoundationDB is multi-model, meaning you can store many types data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component. FoundationDB is easy to install, grow, and manage. It has a distributed architecture that gracefully scales out, and handles faults while acting like a single ACID database. FoundationDB provides amazing performance on commodity... -
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Vapor
A server-side Swift web framework
Non-blocking, event-driven architecture built on top of Apple's SwiftNIO. Written in Swift, the powerful programming language that is also easy to learn. Expressive, protocol-oriented design with a focus on type-safety. Vapor is more than just a web framework. The project includes over a hundred official and community maintained server-first Swift packages. Vapor's documentation covers everything from creating your first application to building large projects. The definitive book on building web apps and web APIs with Vapor, written by the creators of the framework. ... -
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Superalgos
Free, open-source crypto trading bot, automated bitcoin trading
...Superalgos is an ever-growing ecosystem of tools and applications. Once you install and launch the app, a series of interactive tutorials take you by the hand and walk you all around the system while you learn the basic skills required to use the interface, mine data, backtest strategies, and even run a live trading session. -
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WP-CLI
WP-CLI framework
...Investing time upfront into learning how to better use WP-CLI pays dividends in the long term. Browse through all of WP-CLI’s commands to explore your new world. Or, catch up with shell friends to learn about helpful command line utilities. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Easy AI
Easy-to-understand AI learning resources for beginners
easy-learn-ai is a beginner-friendly AI learning resource project. It collects and explains AI concepts, prompts, model information, benchmarks, tutorials, and industry updates in a more accessible way. The project is designed for learners, developers, and creators who want to understand modern AI without being overwhelmed by fragmented technical material. -
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DevOps for Beginners
Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
DevOps Master Class is a comprehensive educational repository that teaches the fundamentals of DevOps practices and tools through hands-on examples. It covers key technologies such as Docker, Kubernetes, Terraform, Ansible, Jenkins, and cloud platforms like AWS and Azure. The course is structured to guide beginners from zero experience to building and deploying real-world applications. It emphasizes practical learning through exercises involving containerization, orchestration, and... -
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Bittensor
Internet-scale Neural Networks
Bittensor is a decentralized machine learning protocol that allows AI models to collaborate, learn, and earn tokens within a global network. It introduces a blockchain-based economy for neural networks, where participants are incentivized to contribute valuable knowledge and compute power. Bittensor combines peer-to-peer learning with on-chain rewards, creating a self-governing, scalable AI system that evolves without centralized control. -
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dtreeviz
Python library for decision tree visualization & model interpretation
A python library for decision tree visualization and model interpretation. Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. The visualizations are inspired by an educational animation by R2D3; A visual introduction to machine learning. Please see How to... -
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imodelsX
Interpretable prompting and models for NLP
...Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better features via LLMs, but at test-time, they are extremely fast and completely transparent. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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vyper
Pythonic Smart Contract Language for the EVM
See Installing Vyper to install vyper. See Tools and Resources for an additional list of framework and tools with vyper support. See Documentation for the documentation and overall design goals of the Vyper language. See Learn.Vyperlang.org for learning Vyper by building a Pokémon game. See try.vyperlang.org to use Vyper in a hosted jupyter environment! There is also an online compiler available you can use to experiment with the language and compile to bytecode and/or IR. While the vyper... -
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p5.js
Client-side JS platform for artists, designers and students to express
p5.js is a JavaScript library for creative coding, with a focus on making coding accessible and inclusive for artists, designers, educators, beginners, and anyone else! p5.js is free and open-source because we believe software, and the tools to learn it, should be accessible to everyone. Using the metaphor of a sketch, p5.js has a full set of drawing functionality. However, you’re not limited to your drawing canvas. You can think of your whole browser page as your sketch, including HTML5 objects for text, input, video, webcam, and sound. p5.js is an interpretation of Processing for today’s web. ... -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
...It can be used to resolve partial differential equations (PDE). Instead of solving by finite element method, a PDE problem can be resolved by training a neural network to learn an operator mapping from infinite-dimensional space (u, t) to infinite-dimensional space f(u, t). Neural operator learns a continuous function between two continuous function spaces. The kernel can be trained on different geometry, which is learned from a graph. Fourier neural operator learns a neural operator with Dirichlet kernel to form a Fourier transformation. ... -
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Elgg
A social networking engine in PHP/MySQL
...Elgg is an award-winning open source social networking engine that provides a robust framework on which to build all kinds of social environments, from a campus-wide social network for your university, school or college or an internal collaborative platform for your organization to a brand-building communications tool for your company and its clients. Learn about the requirements and steps needed to install Elgg on your server. Find detailed information about Elgg's architecture, approach and features. Get inspiration from other projects powered by Elgg. This is a handy resource to search and find out what functions exist within Elgg. Find the ideal plugins and themes in our repository of community-sourced projects. -
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Matplotlib
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a... -
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fish
The user-friendly command line shell
...Other shells support programmable completions, but only fish generates them automatically by parsing your installed man pages. fish will delight you with features like tab completions and syntax highlighting that just work, with nothing new to learn or configure. -
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English-level-up-tips
An advanced guide to learn English which might benefit you a lot
English-level-up-tips is a comprehensive open-source guide designed to help learners improve their English language skills across a broad range of competencies, from vocabulary and grammar to listening, speaking, reading, and writing. Structured as a language learning tutorial, the project aggregates tips, strategies, explanations, and resources that go beyond simple phrase lists, encouraging learners to develop a deep understanding of how English works and how to use it effectively. The... -
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EpicReact.Dev
Build a ReactJS App workshop
...A guided workflow, driven by a node go script and INSTRUCTIONS.md, lets learners move between exercises and extra credit steps while the repository updates the working files for each stage. Extensive tests, using Jest in watch mode, help students verify their solutions and learn how to work with test-driven feedback. -
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Adversarial Robustness Toolbox
Adversarial Robustness Toolbox (ART) - Python Library for ML security
...ART provides tools that enable developers and researchers to evaluate, defend, certify and verify Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, sci-kit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, generation, certification, etc.). -
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sktime
A unified framework for machine learning with time series
...It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation, and forecasting. It comes with time series algorithms and scikit-learn compatible tools to build, tune and validate time series models. Our objective is to enhance the interoperability and usability of the time series analysis ecosystem in its entirety. sktime provides a unified interface for distinct but related time series learning tasks. It features dedicated time series algorithms and tools for composite model building such as pipelining, ensembling, tuning, and reduction, empowering users to apply an algorithm designed for one task to another. -
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Compose Destinations
Annotation processing library for type-safe Jetpack Compose navigation
A KSP library that processes annotations and generates code that uses Official Jetpack Compose Navigation under the hood. It hides the complex, non-type-safe and boilerplate code you would have to write otherwise. No need to learn a whole new framework to navigate - most APIs are either the same as with the Jetpack Components or inspired by them. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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Matomo
Alternative to Google Analytics that gives you full control over data
...Take back control with Matomo – a powerful web analytics platform that gives you 100% data ownership. You could lose your customers’ trust and risk damaging your reputation if people learn their data is used for Google’s “own purposes”. By choosing the ethical alternative, Matomo, you won’t make privacy sacrifices or compromise your site. You can even use Matomo without needing to ask for consent. With 100% data ownership you get the power to protect your user’s privacy. You know where your data is stored and what’s happening to it, without external influence. ... -
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Genji
Document-oriented, embedded SQL database
Genji is an embedded database written in Go that aims to simplify dealing with data in the modern world. It combines the power of SQL with the versatility of documents to provide a maximum of flexibility with no compromise. Run powerful queries on rich documents with an expressive SQL syntax. Create tables with strict schemas, partial schemas, or no schemas at all to control your data the way you want it. Fully serializable transactions, in-memory mode, memory usage control, and more. Genji... -
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AWS Load Balancer Controller
A Kubernetes controller for Elastic Load Balancers
...This project was formerly known as "AWS ALB Ingress Controller", we rebranded it to be "AWS Load Balancer Controller". AWS ALB Ingress Controller was originated by Ticketmaster and CoreOS as part of Ticketmaster's move to AWS and CoreOS Tectonic. Learn more about Ticketmaster's Kubernetes initiative from Justin Dean's video at Tectonic Summit. AWS ALB Ingress Controller was donated to Kubernetes SIG-AWS to allow AWS, CoreOS, Ticketmaster and other SIG-AWS contributors to officially maintain the project. The controller watches for ingress events from the API server. When it finds ingress resources that satisfy its requirements, it begins the creation of AWS resources. -
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Coding Interview University
A complete computer science study plan to become a software engineer
...The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about a 75% depth that is sufficient for interviews. It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth.