Search Results for "type it" - Page 14
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Showing 1241 open source projects for "type it"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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lightning AI
The most intuitive, flexible, way for researchers to build models
...Find templates (Lightning Apps), modify them and publish your own. Lightning Apps can even be full standalone ML products! Run on your laptop for free! Download the code and type 'lightning run app'. Feel free to ssh into any machine and run from there as well. In research, we often have multiple separate scripts to train models, finetune them, collect results and more. -
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parcel/css
A CSS parser, transformer, and minifier written in Rust
...This means that each transformer that wants to do something with these values must interpret them itself, leading to duplicate work and inconsistencies. @parcel/css parses all values using the grammar from the CSS specification and exposes a specific value type for each property. Built on the cssparser and selectors crates created by Mozilla and used by Firefox and Servo. These provide a solid general-purpose CSS-parsing foundation on top of which @parcel/css implements support for all specific CSS rules and properties. One of the main purposes of @parcel/css is to minify CSS to make it smaller. ... -
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Conjure
Interactive evaluation for Neovim
...Conjure adds support for various languages through "clients", these are Lua modules that expose a selection of functions and values that allow the wider Conjure UX to interact with the target language. There’s more information on configuring Conjure to point at clients depending on the file type under :h conjure-clients. -
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DeepCopy
Create deep copies (clones) of your objects
DeepCopy helps you create deep copies (clones) of your objects. It is designed to handle cycles in the association graph. How do you create deep copies of your objects (i.e. copying also all the objects referenced in the properties)? You use __clone() and implement the behavior yourself. DeepCopy recursively traverses all the object's properties and clones them. To avoid cloning the same object twice it keeps a hash map of all instances and thus preserves the object graph. Alternatively, you... -
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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Laravel Data
Powerful data objects for Laravel
This package enables the creation of rich data objects which can be used in various ways. Using this package you only need to describe your data once. -
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kotlin-result
Multiplatform Result monad for modelling success or failure operations
A multiplatform Result monad for modeling success or failure operations. The binding keyword allows multiple calls that each return a Result to be chained imperatively. When inside a binding block, the .bind() function is accessible on any Result. Each call to bind will attempt to unwrap the Result and store its value, returning early if any Result is an Err. -
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Jupynium
Selenium-automated Jupyter Notebook that is synchronised with NeoVim
It's just like a markdown live preview, but it's Jupyter Notebook live preview. Jupynium uses Selenium to automate Jupyter Notebook, synchronizing everything you type on Neovim. Never leave Neovim. Switch tabs on the browser as you switch files on Neovim. Note that it doesn't sync from Notebook to Neovim so only modify from Neovim. -
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Telego
Telegram Bot API library for Go
...If you want a more convenient way of interacting with Telegram, but still do not use all the helpers that Telego provides, check out medium-level docs. The goal of this library was to create an API with the same types and methods as the actual Telegram Bot API. Every type and method has been represented in types.go and methods.go files with mostly all documentation from Telegram. -
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glbinding
A C++ binding for the OpenGL API, generated using the gl.xml specifica
A C++ binding for the OpenGL API, generated using the gl.xml specification. glbinding leverages C++11 features like enum classes, lambdas, and variadic templates, instead of relying on macros; all OpenGL symbols are real functions and variables. It provides type-safe parameters, per-feature API headers, lazy function resolution, multi-context and multi-thread support, global and local function callbacks, meta information about the generated OpenGL binding and the OpenGL runtime, as well as tools and examples for quick-starting your projects. Based on the OpenGL API specification (gl.xml) glbinding is generated using Python scripts and templates that can be easily adapted to fit custom needs. -
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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Sloth Kubernetes
Easy and simple Prometheus SLO (service level objectives) generator
Meet the easiest way to generate SLOs for Prometheus. Sloth generates understandable, uniform, and reliable Prometheus SLOs for any kind of service. Using a simple SLO spec that results in multiple metrics and multi-window multi-burn alerts. Easy and simple Prometheus SLO (service level objectives) generator. -
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Immutables
Annotation processor to create immutable objects and builders
...Do not repeat yourself, try Immutables, the most comprehensive tool in this field. With Immutables you can generate state-of-the-art immutable objects and builders. Type-safe, null-safe and thread-safe, with no boilerplate. Generate builders for immutable objects and even plain static factory methods. Just add jar to classpath and use. No required runtime dependencies! Guava is supported, but not required. Works out-of-the-box with build tools, integrates into IDEs. Lazy, derived and optional attributes. ... -
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Skunk
A data access library for Scala + Postgres
...Code and documentation are under active development! Skunk is published for Scala 2.12/2.13/3.1 and can be included in your project.Query and Command types are usually inferrable, but specifying a type ensures that the chosen encoders and decoders are consistent with the expected input and output Scala types. Postgres provides a protocol for execution of simple queries, returning all rows at once (Skunk returns them as a list). -
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IceCream
Never use print() to debug again
Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable()... -
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Groq TypeScript / Node.s
The official Node.js / Typescript library for the Groq API
Groq TypeScript / Node.s (also often referred to as “groq-sdk” on npm) is the official Node.js / TypeScript client library for Groq’s REST API, enabling JavaScript/TypeScript developers to integrate LLM and AI-powered services into web backends, serverless functions, or frontend apps. It exports strongly-typed interfaces for models, chat completions, file uploads (e.g. for audio transcription), and other endpoints, allowing for better type safety and developer experience when using Groq from TypeScript. The library also supports passing different input types (file streams, blobs, fetch responses) for media-related endpoints, making it flexible for diverse environments (backend, browser, serverless). With this SDK, developers can call Groq’s models, transcribe audio, perform file uploads — all with minimal boilerplate — which streamlines creation of AI-enabled applications in the JavaScript/TypeScript ecosystem. -
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Zerocopy
Zerocopy makes zero-cost memory manipulation effortless
...Zerocopy introduces a suite of conversion traits such as TryFromBytes, FromBytes, IntoBytes, and FromZeros for defining how types can be safely constructed from or written to byte sequences. It also includes marker traits like KnownLayout, Immutable, and Unaligned to define type characteristics used in conversions. Complementing these traits are conversion macros that perform compile-time checks to ensure size and alignment safety, providing zero runtime overhead for unconditional casts. -
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Membrane Core
The core of Membrane Framework, multimedia processing framework
...The core defines a clear lifecycle and callback API for elements, plus concepts like buffers, events, and capabilities/format negotiation to keep components interoperable and type-safe. Back-pressure, scheduling, and time synchronization are handled by the framework, enabling low-latency streaming and precise playback control without ad-hoc concurrency code. Developers compose pipelines from reusable building blocks and can dynamically add, remove, or switch elements while the system is running. -
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Flama
Fire up your models with the flame
Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution... -
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Kotlin Dataframe
Structured data processing in Kotlin
Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data... -
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eslint-plugin-jsx-a11y
Static AST checker for a11y rules on JSX elements
...To enable your custom components to be checked as DOM elements, you can set global settings in your configuration file by mapping each custom component name to a DOM element type. Enforce all elements that require alternative text have meaningful information to relay back to the end user. -
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EnTT
A fast and reliable entity component system (ECS) and much more
EnTT is a header-only, tiny and easy to use library for game programming and much more written in modern C++. Among others, it's used in Minecraft by Mojang, the ArcGIS Runtime SDKs by Esri and the amazing Ragdoll. The entity-component-system (also known as ECS) is an architectural pattern used mostly in game development. This project started off as a pure entity-component system. Over time the codebase has grown as more and more classes and functionalities were added. Statically generated... -
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Faker for Python
Python package that generates fake data for you
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating... -
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Infracost VSCode Extension
See cost estimates for Terraform right in your editor
...Quick cost estimate: write a code block and get a cost estimate without having to use AWS, Azure or Google cost calculators, or read the long/complicated pricing web pages. Catch costly typos: if you accidentally type 22 instead of 2 as the instance count, or 1000GB volume size instead of 100, the cost estimate will immediately pick that up and let you know. See cost estimates right above their Terraform definitions. Infracost's output updates on file save. Both resource and module blocks are supported. 3rd party module blocks are also supported! -
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react-native-mmkv-storage
Encrypted mobile key-value storage framework for React Native
...It uses MMKV by Tencent under the hood on Android and iOS both that is used by their WeChat app(more than 1 Billion users). Unlike other storage solutions for React Native, this library lets you store any kind of data type, in any number of database instances, with or without encryption in a very fast and efficient way. Read about it on this blog post I wrote on dev.to. Starting from v0.5.0 the library has been rewritten in C++ on Android and iOS both. It employs React Native JSI making it the fastest storage option for React Native. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values to achieve the best performance. -
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jsii
jsii allows code in any language to naturally interact with JavaScript
...By compiling our source module using jsii, we can now package it as modules in one of the supported target languages. Each target module has the exact same API as the source. This allows users of that target language to use Greeter like any other native type. -
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Nimble
A Matcher Framework for Swift and Objective-C
Use Nimble to express the expected outcomes of Swift or Objective-C expressions. Inspired by Cedar. Apple's Xcode includes the XCTest framework, which provides assertion macros to test whether code behaves properly. XCTest assertions have a couple of drawbacks. Not enough macros. There's no easy way to assert that a string contains a particular substring, or that a number is less than or equal to another. It's hard to write asynchronous tests. XCTest forces you to write a lot of boilerplate...