Search Results for "input-leap" - Page 8
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Showing 928 open source projects for "input-leap"
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Numaflow
Kubernetes-native platform to run massively parallel data/streaming
Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices. Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured stream processing platform. -
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graphql_client
Typed, correct GraphQL requests and responses in Rust
A typed GraphQL client library for Rust. Precise types for query variables and responses. Supports GraphQL fragments, objects, unions, inputs, enums, custom scalars and input objects. Works in the browser (WebAssembly). Subscriptions support (serialization-deserialization only at the moment). Copies documentation from the GraphQL schema to the generated Rust code. Arbitrary derives on the generated responses. Arbitrary custom scalars. Supports multiple operations per query document. Supports setting GraphQL fields as deprecated and having the Rust compiler check their use. ... -
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eRPC
An efficient, extensible and easy-to-use RPC framework
...Support setting the size of the reading message (if exceed disconnect it). Support controlling the connection file descriptor. Detailed log information, support print input and output details. Support setting slow operation alarm threshold. Support for custom implementation log component. Client session support automatically redials after disconnection. -
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SageMaker TensorFlow Training Toolkit
Toolkit for running TensorFlow training scripts on SageMaker
...A SageMaker Model contains references to a model.tar.gz file in S3 containing serialized model data, and a Docker image used to serve predictions with that model. A Batch Transform job runs an offline-inference job using your TensorFlow Serving model. Input data in S3 is converted to HTTP requests, and responses are saved to an output bucket in S3. -
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Ariadne
Python library for implementing GraphQL servers
Ariadne is a Python library for implementing GraphQL servers. Schema-first. Ariadne enables Python developers to use a schema-first approach to the API implementation. This is the leading approach used by the GraphQL community and supported by dozens of frontend and backend developer tools, examples, and learning resources. Ariadne makes all of this immediately available to you and other members of your team. Ariadne offers a small, consistent, and easy to memorize API that lets developers... -
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Hamcrest PHP
The PHP Hamcrest implementation
Hamcrest is a matching library originally written for Java, but subsequently ported to many other languages. hamcrest-php is the PHP port of Hamcrest and essentially follows a literal translation of the original Java API for Hamcrest, with a few Exceptions, mostly down to PHP language barriers. Unless it would be non-semantic for a matcher to do so, hamcrest-php allows dynamic typing for it's input, in "the PHP way". Exception are where semantics surrounding the type itself would suggest otherwise, such as stringContains() and greaterThan(). Several matchers have not been ported because they don't make sense or don't apply in PHP. When most of the collections matchers are finally ported, PHP-specific aliases will probably be created due to a difference in naming conventions between Java's Arrays, Collections, Sets and Maps compared with PHP's Arrays. -
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React Select
The Select Component for React.js
React Select is a beautiful, flexible, open source Select Input control for ReactJS. It was originally built for use in KeystoneJS and comes with numerous features, including multiselect, autocomplete, async and creatable support. React Select presents a whole new approach to developing powerful React.js components, creating components that simply work right out of the box, while also being very customizable. -
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Onefetch
Git repository summary on your terminal
...By default, the repo's information is displayed alongside the dominant language's logo, but you can further configure onefetch to instead use an image, on supported terminals, text input, or nothing at all. It automatically detects open source licenses from texts and provides the user with valuable information like code distribution, pending changes, number of dependencies (by package manager), top contributors (by number of commits), the size on disk, creation date, LOC (lines of code), etc. Onefetch can be configured via command-line flags to display exactly what you want, the way you want it to: you can customize ASCII/Text formatting, disable info lines, ignore files & directories, and output in multiple formats (JSON, Yaml), etc. -
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AIMET
AIMET is a library that provides advanced quantization and compression
Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware... -
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Claude Code Slash Commands
A collection of production-ready slash commands for Claude Code
Claude Code Slash Commands is a companion framework focused on defining structured command systems that can be used by AI agents or automation tools to perform specific actions. It provides a standardized way to describe commands, their inputs, and expected outputs, enabling consistent interaction between user instructions and executable operations. The project is designed to work alongside agent frameworks, acting as the execution layer that translates abstract intents into concrete... -
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ARC-AGI
The Abstraction and Reasoning Corpus
ARC-AGI is a benchmark dataset and experimental framework designed to evaluate and advance artificial general intelligence by testing systems on abstract reasoning tasks that require human-like problem-solving abilities. It consists of a curated set of tasks where models must infer patterns from input-output examples and apply those rules to new unseen cases, without relying on memorization or prior training data. The dataset is structured as grid-based puzzles, where each task requires understanding transformations such as symmetry, counting, or spatial manipulation. Unlike traditional machine learning benchmarks, ARC emphasizes generalization and reasoning over statistical pattern recognition, making it particularly challenging for current AI systems. ... -
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jSuites
Collection of lightweight common required javascript web components
jSuites is a robust collection of lightweight, responsive JavaScript plugins and web components designed to provide common UI building blocks that work across frameworks and platforms while keeping performance and simplicity at the forefront. It includes a broad set of components such as calendars, dropdowns, color pickers, modals, sliders, tags, input masks, context menus, and rich form utilities that help enhance user experience without reinventing the wheel for each project. These components are framework-agnostic, meaning they can be used with plain JavaScript or easily integrated into major frameworks like React, Angular, and Vue, giving developers flexibility in how they adopt them. ... -
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sebastian/diff
Diff implementation
...Output builders can produce formats like unified or context diffs, or more human-friendly renderings suitable for terminals and HTML reports. Internally, the library splits input into hunks and manages edge cases such as whitespace-only changes and end-of-line variations. Its abstractions make it straightforward to plug custom output styles or colorizers without reimplementing diff logic. Because it’s the diff engine under PHPUnit, it has been exercised across countless projects and edge cases. -
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Uncertainty Baselines
High-quality implementations of standard and SOTA methods
Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems, with baselines that cover both deterministic and probabilistic approaches. Techniques include deep ensembles, Monte Carlo dropout, temperature scaling, stochastic variational inference, heteroscedastic heads, and out-of-distribution detection workflows. ... -
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QFramework
Unity3D System Design Architecture
QFramework is to provide a set of simple, powerful, easy-to-use, SOLID principles, support domain-driven design (DDD), event-driven, data-driven, layered, MVC, CQRS, modular, easy-to-extend architecture, her source code is only Up to line 800, you can completely save it in your notes app. Presentation layer: ViewController layer. The IController interface is responsible for the performance when receiving input and state changes. In general, MonoBehaviour is the presentation layer. System layer: System layer. The ISystem interface helps IController undertake part of the logic, logic shared in multiple presentation layers, such as timing system, mall system, achievement system, etc. Data layer: Model layer. The IModel interface is responsible for the definition of data and the provision of methods for adding, deleting, checking and modifying data. -
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AWS SDK for Go v2
AWS SDK for the Go programming language
Welcome to the AWS SDK for Go. The AWS SDK for Go V2 provides APIs and utilities that developers can use to build Go applications that use AWS services, such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3). The SDK removes the complexity of coding directly against a web service interface. It hides a lot of the lower-level plumbing, such as authentication, request retries, and error handling. The SDK also includes helpful utilities. For example, the... -
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tRPC
End-to-end typesafe APIs made easy
...We set out to build a simple library for building typesafe APIs that leverage the full power of modern TypeScript. Introducing RPC! Automatic type safety & autocompletion are inferred from your API paths, their input data, & outputs. No code generation, run-time bloat, or build pipeline. Zero dependencies & a tiny client-side footprint. Easy to add to your existing brownfield project with adapters for Connect/Express/Next.js. Currently, GraphQL is the dominant way to implement typesafe APIs in TypeScript (and it's amazing!). -
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Binaryen
Compiler infrastructure and toolchain library for WebAssembly
...It aims to make compiling to WebAssembly easy, fast, and effective. Binaryen has a simple C API in a single header, and can also be used from JavaScript. It accepts input in WebAssembly-like form but also accepts a general control flow graph for compilers that prefer that. Binaryen's internal IR uses compact data structures and is designed for completely parallel codegen and optimization, using all available CPU cores. Binaryen's IR also compiles down to WebAssembly extremely easily and quickly because it is essentially a subset of WebAssembly. ... -
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gitwatch
Watch a file or folder and automatically commit changes to a git repo
A bash script to watch a file or folder and commit changes to a git repo. Some programs auto-write their config files, without waiting for you to click an 'Apply' button; or even if there is such a button, most programs offer you no way of going back to an earlier version of your settings. If you commit your config file(s) to a git repo, you can track changes and go back to older versions. This script makes it convenient, to have all changes recorded automatically. If you use an editor that... -
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SDGym
Benchmarking synthetic data generation methods
...You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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AG-UI
The Agent-User Interaction Protocol
...Instead of treating an AI agent as a black-box chat endpoint, AG-UI defines structured events for messages, tool calls, state changes, lifecycle updates, and user interactions. This makes it easier for developers to build agent-powered apps that stream progress, request human input, update UI state, and coordinate complex workflows. The project is especially useful for teams building copilots, workflow assistants, multi-agent products, or custom AI interfaces. Overall, AG-UI provides a shared communication layer between autonomous systems and the interfaces where people actually use them. -
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Radix Themes
Radix Themes is an open-source component library
...It emphasizes accessibility and usability by incorporating best practices into its default implementations, ensuring that components behave correctly across different devices and input methods. -
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One-Lin3r
Gives you one-liners that aids in penetration testing operations
...It is designed to be cross-platform, supporting environments like Windows, Linux, macOS, and BSD systems, making it highly versatile for different penetration testing scenarios. One of its standout aspects is its intelligent autocomplete system, which not only predicts commands but also corrects user input errors and suggests the closest matching commands. -
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EKS Best Practices
A best practices guide for day 2 operations
The Amazon EKS Best Practices Guide is a public repository containing comprehensive documentation and guidance for operating production-grade Kubernetes clusters on AWS’s managed service, Amazon EKS. Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. The repository is maintained by AWS but open to... -
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NanoNeuron
NanoNeuron is 7 simple JavaScript functions
Nano-Neuron is a didactic project that reduces the idea of a neuron to a handful of tiny JavaScript functions so learners can see “learning” in action without heavy frameworks. It demonstrates how a scalar input can be linearly transformed with a weight and bias, then adjusted via gradient updates to fit a simple mapping such as Celsius-to-Fahrenheit conversion. The code emphasizes readability over performance, inviting you to step through calculations and watch parameters converge. Because every concept is expressed in a few lines, it’s easy to tinker—change learning rates, swap cost functions, or visualize error curves. ...
