Search Results for "tutorials" - Page 5
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Showing 695 open source projects for "tutorials"
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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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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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RuntimeGeneratedFunctions.jl
Functions generated at runtime without world-age issues or overhead
RuntimeGeneratedFunctions are functions generated at runtime without world-age issues and with the full performance of a standard Julia anonymous function. This builds functions in a way that avoids eval. For technical reasons, RuntimeGeneratedFunctions needs to cache the function expression in a global variable within some module. This is normally transparent to the user, but if the RuntimeGeneratedFunction is evaluated during module precompilation, the cache module must be explicitly set... -
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Embedding Studio
Framework which allows you transform your Vector Database
Embedding Studio is a framework that transforms vector databases into feature-rich search engines. It leverages embeddings to enhance search capabilities, enabling more accurate and context-aware retrieval of information. Embedding Studio supports various data types and integrates seamlessly with existing databases, providing tools for fine-tuning and optimizing embeddings to suit specific application needs. -
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ReactiveMP.jl
High-performance reactive message-passing based Bayesian engine
ReactiveMP.jl is a Julia package that provides an efficient reactive message passing based Bayesian inference engine on a factor graph. The package is a part of the bigger and user-friendly ecosystem for automatic Bayesian inference called RxInfer. While ReactiveMP.jl exports only the inference engine, RxInfer provides convenient tools for model and inference constraints specification as well as routines for running efficient inference both for static and real-time datasets. -
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LitGPT
20+ high-performance LLMs with recipes to pretrain, finetune at scale
LitGPT is a collection of over 20 high-performance large language models (LLMs) accompanied by recipes to pretrain, finetune, and deploy them at scale. It provides implementations without abstractions, making it beginner-friendly while offering advanced features like flash attention and support for various precision levels. LitGPT is designed to run efficiently across multiple GPUs or TPUs, catering to both small-scale and large-scale deployments. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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ExponentialUtilities.jl
Fast and differentiable implementations of matrix exponentials
ExponentialUtilities is a package of utility functions for matrix functions of exponential type, including functionality for the matrix exponential and phi-functions. These methods are more numerically stable, generic (thus support a wider range of number types), and faster than the matrix exponentiation tools in Julia's Base. The tools are used by the exponential integrators in OrdinaryDiffEq. The package has no external dependencies, so it can also be used independently. -
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Literate
Simple package for literate programming in Julia
Literate is a package for Literate Programming. The main purpose is to facilitate writing Julia examples/tutorials that can be included in your package documentation. Literate can generate markdown pages (for e.g. Documenter.jl), and Jupyter notebooks, from the same source file. There is also an option to "clean" the source from all metadata, and produce a pure Julia script. Using a single source file for multiple purposes reduces maintenance, and makes sure your different output formats are synced with each other. -
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mdBook
Create books from markdown files
mdBook is a command line tool and Rust crate to create books with Markdown. The output resembles tools like Gitbook, and is ideal for creating product or API documentation, tutorials, course materials or anything that requires a clean, easily navigable and customizable presentation. mdBook is written in Rust; its performance and simplicity made it ideal for use as a tool to publish directly to hosted websites such as GitHub Pages via automation. This guide, in fact, serves as both the mdBook documentation and a fine example of what mdBook produces. mdBook includes built in support for both preprocessing your Markdown and alternative renderers for producing formats other than HTML. ... -
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FTXUI
C++ Functional Terminal User Interface
...Support for animations. Support for drawing. No dependencies. Cross-platform, Linux/MacOS (main target), WebAssembly, Windows (Thanks to contributors!). Learn by examples and tutorials. Multiple packages, CMake FetchContent (preferred), vcpkg, pkgbuild, conan. Good practises: documentation, tests, fuzzers, performance tests, automated CI, automated packaging, etc. This is expected to be cross-platform. The DOM module defines a hierarchical set of Element. An element manages the layout and can be responsive to the terminal dimensions. ... -
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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. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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CS Self-Learning
Chinese-language CS self-learning guide with curated resources
cs-self-learning is a comprehensive, Chinese-language guide aimed at helping self-learners master computer science concepts. It provides a structured roadmap covering algorithms, operating systems, networks, databases, and more, with curated links to online courses, tutorials, and books. The project is especially useful for non-English speakers pursuing independent or supplemental learning in CS. -
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DynamicalSystems.jl
Award winning software library for nonlinear dynamics timeseries
...All implemented algorithms provide a high-level scientific description of their functionality in their documentation string as well as references to scientific papers. The documentation features hundreds of tutorials and examples ranging from introductory to expert usage. -
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ethereum.org website
Ethereum.org is a primary online resource for the Ethereum community
Ethereum is the community-run technology powering the cryptocurrency ether (ETH) and thousands of decentralized applications. ethereum.org is your portal into the world of Ethereum. The tech is new and ever-evolving, so it helps to have a guide. Here's what we recommend you do if you want to dive in. Ethereum is a technology that's home to digital money, global payments, and applications. The community has built a booming digital economy, bold new ways for creators to earn online, and so... -
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SGDK 1.90
A free and open development kit for the Sega Mega Drive
SGDK is a free development kit allowing the development of software in C language for the Sega Mega Drive. It contains the development library itself (with the code sources) and some custom tools used to compile resources. SGDK uses the GCC compiler (m68k-elf target) and the libgcc to generate a ROM image. Binaries (GCC 6.3) are provided for Windows OS for convenience, but you need to install it by yourself for other operating systems. Note that SGDK also requires Java (custom tools require... -
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ahooks
React hooks library
ahooks contains a large set of essential react hooks, with demos and examples for each one of them. Providing tutorials about using hooks in practice. An all-in-one place to learn for pro coders and newcomers. Used in hundreds of products in Alipay, Taobao, Tmall etc, with high quality and robustness. ahooks is a React Hooks library dedicated to providing commonly used and high quality Hooks. You can look up Hooks in the side menu like useRequest, useHover etc. -
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OpenClaw Chinese Translation
Open source personal AI assistant Chinese version
OpenClawChineseTranslation is a community-driven effort to provide translated resources and documentation for the OpenClaw project in Chinese, making it easier for native Chinese developers to understand and implement the agent framework. It focuses on producing accurate and up-to-date translations of tutorials, API references, configuration guides, and explanatory materials so that learners don’t struggle with language barriers when working with the original project. The repository organizes translated articles, diagrams, and examples in a way that mirrors the structure of the original codebase, helping users correlate documentation with the actual implementation. ... -
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Generative AI Docs
Documentation for Google's Gen AI site - including Gemini API & Gemma
Generative AI Docs is Google’s official documentation repository for Gemini, Vertex AI, and related generative AI APIs. It contains guides, API references, and examples for developers building applications using Google’s large language models, text-to-image models, embeddings, and multimodal capabilities. The repository includes markdown source files that power the Google AI developer documentation site, as well as sample code snippets in Python, JavaScript, and other languages that... -
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Hasktorch
Tensors and neural networks in Haskell
Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions.... -
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
...It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the art as of 2025. The roadmap outlines recommended topics, sequential steps, and associated resources (tutorials, notebooks, project ideas) to build competence in generative modeling from conceptual understanding to implementation and deployment. By organizing the learning journey in digestible phases — from fundamentals of neural networks to deep generative architectures, and from model training to serving/inference pipelines — it reduces the cognitive load of “where to start”. -
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Solana
Web-scale blockchain for fast, secure, scalable, decentralized apps
...This means the network will remain open for applications to run freely and transactions will never be stopped. Help secure the network by running decentralized infrastructure. Learn about operating a validator node. See the get started guide, videos, tutorials, SDKs, reference implementations, and more. -
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Awesome production machine learning
Curated list of awesome open source libraries
This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning. Open-source frameworks, tutorials, and articles curated by machine learning professionals. Open-source bias audit toolkits for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive risk-assessment tools. -
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AlphaGenome
Programmatic access to the AlphaGenome model
The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can... -
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Perceval
An open source framework for programming photonic quantum computers
An open-source framework for programming photonic quantum computers. Through a simple object-oriented Python API, Perceval provides tools for composing circuits from linear optical components, defining single-photon sources, manipulating Fock states, running simulations, reproducing published experimental papers and experimenting with a new generation of quantum algorithms. It aims to be a companion tool for developing photonic circuits – for simulating and optimizing their design, modeling... -
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opam
opam is a source-based package manager
Opam is a source-based package manager for OCaml. It supports multiple simultaneous compiler installations, flexible package constraints, and a Git-friendly development workflow. Opam was created and is maintained by OCamlPro. To get started, checkout the Install and Usage guides. Run ./configure. If you don't have the dependencies installed, this will locally take care of all OCaml dependencies for you (downloading them, unless you used the inclusive archive we provide for each release).... -
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ASP.NET Boilerplate
A web application framework
...Integrated multi-tenancy from database to UI. Designed and developed DDD in mind. Provides a SOLID model for your application. Compherensive documentation and jump start tutorials. Actively developed on GitHub (MIT license) and open for contributions. Don't Repeat Yourself! ASP.NET Boilerplate automates common software development tasks by convention. You focus on your business code. Create your solution based on free or premium startup templates. Either with an Angular Single-Page Application or Classic MVC & jQuery architecture. -
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PerfView
PerfView is a CPU and memory performance-analysis tool
...It works for a wide variety of scenarios, but has a number of special features for investigating performance issues in code written for the .NET runtime. If you are unfamiliar with PerfView, there are PerfView video tutorials. Also, Vance Morrison's blog gives an overview and getting started information. PerfView is built on a library called Microsoft.Diagnostics.Tracing.TraceEvent, which knows how to both collect and parse Event Tracing for Windows (ETW) data. Thus if there is any information that PerfView collects and processes that you would like to manipulate yourself programmatically, you would probably be interested in the TraceEvent Library Documentation.
