Search Results for "input-leap" - Page 24
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Showing 3571 open source projects for "input-leap"
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Honggfuzz
Security oriented software fuzzer
...The tool integrates tightly with sanitizers and can attach to already running processes, making it convenient for both white-box and black-box fuzzing. When it finds a crash, honggfuzz captures detailed context, minimizes the input, and can pin reproducibility by controlling CPU affinity and resource limits. Its small footprint and straightforward CLI make it easy to drop into CI or long-running campaigns across many cores. -
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Flax
Flax is a neural network library for JAX
...The library is widely used in vision, language, and reinforcement learning, often serving as a thin layer atop NumPy-like JAX primitives. Tutorials and examples show patterns for multi-host training, mixed precision, and advanced input pipelines that scale from laptops to TPUs. -
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MuJoCo Playground
An open source library for GPU-accelerated robot learning
...The project includes classic control benchmarks from dm_control, advanced quadruped and bipedal locomotion systems, and dexterous as well as non-prehensile manipulation setups. It also offers optional vision-based training capabilities through integration with Madrona-MJX, allowing researchers to train policies directly from image input on GPUs. MuJoCo Playground supports both the MJX JAX implementation and the Warp physics engine, enabling flexible use across research pipelines. The environments are designed for fast training, compatibility with reinforcement learning libraries, and real-time trajectory visualization using rscope. -
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4M
4M: Massively Multimodal Masked Modeling
...The repository releases code and models for multiple variants (e.g., 4M-7 and 4M-21), emphasizing transfer to unseen tasks and modalities. Training/inference configs and issues discuss things like depth tokenizers, input masks for generation, and CUDA build questions, signaling active research iteration. The design leans into flexibility and steerability, so prompts and masks can shape behavior without bespoke heads per task. In short, 4M provides a unified recipe to pretrain large multimodal models that generalize broadly while remaining practical to fine-tune. -
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3FS
A high-performance distributed file system
...The repo includes APIs to define components (e.g. seg, ret, scor) that wrap or interface with external or internal modules, as well as logic to schedule and compose these feature transforms. By handling caching and batching at a system level, 3FS helps reduce overhead when many features or modules must be evaluated per input (e.g. in an LLM agent pipeline). The repository includes example integration with models like DeepSeek-V2 / V3, showing how 3FS can be plugged into pipelines for operations like plugin processing. -
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Sogou C++ Workflow
C++ parallel computing and asynchronous networking engine
As Sogou`s C++ server engine, Sogou C++ Workflow supports almost all back-end C++ online services of Sogou, including all search services, cloud input method, online advertisements, etc., handling more than 10 billion requests every day. This is an enterprise-level programming engine in light and elegant design which can satisfy most C++ back-end development requirements. -
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Common Expression Language
Fast, portable, non-Turing complete expression evaluation
...To get started, try the Codelab. Determine the variables and functions you want to provide to CEL. Parse and check an expression to make sure it's valid. Then evaluate the output AST against some input. Checking is optional but strongly encouraged. The parsing phase indicates whether the expression is syntactically valid and expands any macros present within the environment. Parsing and checking are more computationally expensive than evaluation. -
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Emacs for You (Emfy)
A dark and sleek Emacs setup for general purpose editing
This project provides a tiny .emacs file to set up Emacs quickly. This document provides a detailed description of how to set it up and get started with Emacs. Further this project also provides a tiny convenience command named em to start Emacs server and edit files using Emacs server. This helps in using Emacs efficiently. This script and its usage is explained in detail later in the Emacs Server and Emacs Launcher sections. If you are already comfortable with Emacs and only want to... -
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CommandLineUtils
Command line parsing and utilities for .NET
...The primary goal of the library is to assist with parsing command line arguments and executing the correct commands related to those arguments. The library also provides various other utilities such as input helpers. This project helps you create command line applications using .NET. It simplifies parsing arguments provided on the command line, validating user inputs, and generating help text. CommandLineApplication is the main entry point for most console apps parsing. There are two primary ways to use this API, using the builder pattern and attributes. ... -
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react-docgen
A CLI and toolbox to extract information from React component files
...These component definitions must follow certain guidelines in order to be analyzable. Installing the module adds a react-docgen executable which allows you to convert a single file, multiple files or an input stream. We are trying to make the executable as versatile as possible so that it can be integrated into many workflows. By default, react-docgen will look for the exported component created through React.createClass, a class definition or a function (stateless component) in each file. -
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DALI
A GPU-accelerated library containing highly optimized building blocks
...DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. -
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CLI Printing Press
Reads official API docs, studies CLI and MCP servers
CLI Printing Press is a Go-based tool that generates agent-ready command-line interfaces and MCP servers from APIs, websites, OpenAPI specs, or browser-captured HAR files. Instead of only wrapping endpoints, it studies the API, competing tools, useful workflows, authentication behavior, and hidden data opportunities before producing a more opinionated CLI. The generated tools are designed for AI agents first, with SQLite sync, offline search, structured output, compact modes, typed exit... -
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Anthony Fu's Skills
Anthony Fu's curated collection of agent skills
...These skills are typically simple, human-readable files that contain structured steps, rules, examples, and workflow logic, letting tools like Claude Code or Copilot CLI load and run them only when they apply to the user’s input. By offloading detailed task patterns into discrete skill modules, developers can greatly extend what coding agents can do without retraining the underlying language model itself. The project serves as a curated registry of utilities that save time, standardize best practices, and encode expertise across domains, while still being easy to customize or extend. ... -
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CycleGAN and pix2pix in PyTorch
Image-to-Image Translation in PyTorch
CycleGAN and pix2pix in PyTorch repository is a PyTorch implementation of two influential image-to-image translation frameworks: CycleGAN (for unpaired translation) and pix2pix (for paired translation). This repo gives developers and researchers a convenient, modern (PyTorch-based) platform to train and test these methods — supporting both paired datasets (input to output) and unpaired datasets (domain-to-domain) with minimal changes. The code supports standard training and inference pipelines, and as of recent updates, compatibility with the latest Python and PyTorch versions (e.g. Python 3.11, PyTorch 2.4) as well as support for distributed/multi-GPU training for scalable workflows. Because of its flexibility, users can apply it to many tasks: e.g. style transfer between domains (e.g. season changes, art-to-photo, etc.), mapping sketches/edges to real images, image colorization, day-to-night, photo enhancement, and more. -
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Starter Applets
Google AI Studio Starter Apps
starter-applets is a collection of minimal, sandboxed example “applets” that demonstrate how to compose Gemini-powered microapps (chat widgets, image generation, workflows) that can be embedded in other applications or used standalone. The applets are structured with a focus on simplicity: each presents a prompt input, minimal UI logic, and inline display of the resulting output or widget (e.g. generated text, images). They are built to illustrate best practices (e.g. safety guards, prompt templates, streaming UI updates) rather than production feature sets. The repo supplies a CLI or script to scaffold new applet templates, letting developers spin up small Gemini-powered components quickly. ... -
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zsh-autosuggestions
Fish-like autosuggestions for zsh
zsh-autosuggestions is a popular Zsh plugin that displays gray, inline suggestions as you type, based on your shell history and other strategies. It feels a lot like “typeahead” for the terminal: the moment your input matches a past command prefix, a suggestion appears and you can accept it with a key (e.g., right arrow or end-of-line). The plugin is lightweight and fast, designed to keep suggestions responsive even on large histories by performing lookups asynchronously when possible. It’s highly configurable: you can change the suggestion strategy, tweak widget bindings, ignore certain patterns, and control when suggestions appear or are cleared. ... -
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reprex
Render bits of R code for sharing, e.g., on GitHub or StackOverflow
reprex is an R package (from the tidyverse / Posit ecosystem) that helps users make reproducible examples (reprexes) of R code: self-contained, shareable, minimal examples capturing an issue or showing desired behavior. It formats code and its output nicely (often using Markdown or syntax appropriate to posting on forums, GitHub, StackOverflow etc.), handles dependencies, session info, etc. The goal is to make debugging, asking for help, or demonstrating code easier through rigorous... -
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clj-http
An idiomatic clojure http client wrapping the apache client
...It uses Ring-style request/response maps and middleware, fitting seamlessly into idiomatic Clojure applications. clj-http allows coercing the body of the request either before it is sent (input coercion), or after it’s received (output coercion) from the server. By default, JSON coercion is only applied when the response’s status is considered “unexceptional”. If the :unexceptional-status option is provided, then its value is a function that specifies what status codes are unexceptional. Rather than forcing all request headers to be lowercase strings, clj-http allows strings or keywords of any case. ... -
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Segmentation Models
Segmentation models with pretrained backbones. PyTorch
...Pytorch Image Models (a.k.a. timm) has a lot of pretrained models and interface which allows using these models as encoders in smp, however, not all models are supported. Input channels parameter allows you to create models, which process tensors with an arbitrary number of channels. -
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Goa
Design-based APIs and microservices in Go
Goa takes a different approach to building services by making it possible to describe the design of the service API using a simple Go DSL. Goa uses the description to generate specialized service helper code, client code and documentation. Goa is extensible via plugins, for example the goakit plugin generates code that leverage the Go kit library. The service design describes the transport independent layer of the services in the form of simple methods that accept a context and a payload and... -
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Emacs-Helm
Emacs incremental completion and selection narrowing framework
Emacs incremental completion and selection narrowing framework. Helm is an Emacs framework for incremental completions and narrowing selections. It helps to rapidly complete file names, buffer names, or any other Emacs interactions requiring selecting an item from a list of possible choices. Helm is a fork of anything.el, which was originally written by Tamas Patrovic and can be considered to be its successor. Helm cleans the legacy code that is leaner, modular, and unchained from... -
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Pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses:... -
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Formik
Build forms in React
Formik is the world's most popular open-source form library for React and React Native. Formik takes care of the repetitive and annoying stuff, keeping track of values/errors/visited fields, orchestrating validation, and handling submission, so you don't have to. This means you spend less time wiring up state and change handlers and more time focusing on your business logic. No fancy subscriptions or observables under the hood, just plain React state and props. By staying within the core... -
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Arcan
Powerful development framework for creating virtually anything
...The development emphasizes security, debuggability and performance, guided by a principle of least surprise in terms of API design. For the main engine there has been quite some refactoring to reduce input latency; better accommodate variable-refresh rate display; prepare for asymmetric uncooperative multi-GPU and GPU handover; explicit synchronization and runtime transitions back and forth between low (16-bit) to standard (32-bit) to high-definition rendering (10-bit + fp16/fp32). -
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SALMONN family
A suite of advanced multi-modal LLMs
SALMONN is a family of advanced multi-modal large language models (LLMs) developed by ByteDance — designed to handle and integrate multiple data modalities (e.g. text, audio, video) rather than just plain text. The repository bundles different branches targeting specialized tasks (e.g. video-SALMONN, speech-quality assessment, general multimodal tasks), suggesting that the project is modular and extensible across domains. SALMONN aims to push the frontier of multi-modal AI by allowing models...
