Search Results for "input-leap" - Page 22
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Showing 3570 open source projects for "input-leap"
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Krajee
An enhanced HTML 5 file input for Bootstrap 5.x/4.x./3.x
An enhanced HTML 5 file input for Bootstrap 5.x or Bootstrap 4.x or Bootstrap 3.x with file preview for various files, offers multiple selection, and more. The plugin allows you a simple way to setup an advanced file picker/upload control built to work specially with Bootstrap CSS3 styles. It enhances the file input functionality further, by offering support to preview a wide variety of files i.e. images, text, html, video, audio, flash, and objects. -
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Lux
Fast Go CLI tool for downloading videos from many streaming sites
Lux is an open source command-line tool designed for downloading videos from a wide variety of online media platforms. Written in the Go programming language, the project focuses on providing a fast and lightweight downloader that can retrieve media content directly from supported websites. Lux works by extracting video information from a given page and downloading the available streams to the user’s system. Lux supports downloading individual videos as well as playlists and can display... -
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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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Kronos
A Foundation Model for the Language of Financial Markets
Kronos is a specialized open-source foundation model designed for analyzing and predicting financial market data using time-series representations of candlestick patterns. It is built as a decoder-only Transformer model trained specifically on K-line data, which captures open, high, low, close, and volume information across multiple global exchanges. The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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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Mink
PHP web browser emulator abstraction
Mink is an open-source PHP library that provides a browser abstraction layer for web application testing, allowing developers to simulate user interactions with websites in a consistent and flexible way. Instead of tying test logic to a specific browser driver, Mink introduces a unified API that can work with multiple drivers such as Goutte, Selenium, ChromeDriver, or BrowserKit. This abstraction enables developers to write tests once and run them across different environments without... -
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SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow
...The system uses a combination of convolutional neural networks and recurrent neural networks to extract visual features and model sequential character patterns in handwriting. It also employs connectionist temporal classification (CTC) to align predicted character sequences with input images without requiring character-level segmentation. The repository provides code for training models, performing inference on handwritten text images, and evaluating recognition accuracy. SimpleHTR is commonly used as an educational example for understanding how modern handwriting recognition systems operate. -
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FuzzyAI Fuzzer
A powerful tool for automated LLM fuzzing
FuzzyAI is an open-source fuzzing framework designed to test the security and reliability of large language model applications. The tool automates the process of generating adversarial prompts and input variations to identify vulnerabilities such as jailbreaks, prompt injections, or unsafe model responses. It allows developers and security researchers to systematically evaluate the robustness of LLM-based systems by simulating a wide range of malicious or unexpected inputs. The framework can be integrated into development pipelines to continuously test AI APIs and detect weaknesses before deployment. ... -
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MoBA
MoBA: Mixture of Block Attention for Long-Context LLMs
...This routing strategy reduces the computational cost associated with traditional attention while preserving performance on reasoning and long-context tasks. The approach allows language models to scale to significantly longer input contexts without the quadratic computational cost normally associated with transformer attention mechanisms. -
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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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CausalImpact
An R package for causal inference in time series
...Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the intervention, and it divides the time horizon into “pre-intervention” and “post-intervention” periods. It uses Bayesian modeling to fit a structural time series to the pre-period and extrapolate a counterfactual prediction for the post period, then compares observed vs predicted to infer the causal effect. ... -
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HunyuanCustom
Multimodal-Driven Architecture for Customized Video Generation
HunyuanCustom is a multimodal video customization framework by Tencent Hunyuan, aimed at generating customized videos featuring particular subjects (people, characters) under flexible conditions, while maintaining subject/identity consistency. It supports conditioning via image, audio, video, and text, and can perform subject replacement in videos, generate avatars speaking given audio, or combine multiple subject images. The architecture builds on HunyuanVideo, with added modules for... -
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SciML Style Guide for Julia
A style guide for stylish Julia developers
...It is used by the SciML Open Source Scientific Machine Learning Organization. As such, it is open to discussion with the community. If the standard for code contributions is that every PR needs to support every possible input type that anyone can think of, the barrier would be too high for newcomers. Instead, the principle is to be as correct as possible to begin with, and grow the generic support over time. All recommended functionality should be tested, and any known generality issues should be documented in an issue (and with a @test_broken test when possible). ... -
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Changelog CI
Changelog CI is a GitHub Action that enables a project
Changelog CI is a GitHub Action that enables a project to automatically generate changelogs. Changelog CI can be triggered on pull_request, workflow_dispatch, and any other events that can provide the required inputs. Changelog CI uses python and GitHub API to generate a changelog for a repository. First, it tries to get the latest release from the repository (If available). Then, it checks all the pull requests/commits merged after the last release using the GitHub API. After that, it... -
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Trafilatura
Python & command-line tool to gather text on the Web
Trafilatura is a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text-processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats. Going from raw HTML to essential parts can alleviate many problems related to text quality, first by... -
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LiquidHaskell
Liquid Types For Haskell
...LiquidHaskell (LH) refines Haskell's types with logical predicates that let you enforce important properties at compile time. LH warns you that head is not total as it is missing the case for [] and checks that it is total on NonEmpty lists. The input contract propagates to uses of head which are verified by ensuring the arguments are NonEmpty. LH lets you avoid off-by-one errors that can lead to crashes or buffer overflows. Dependent contracts let you specify, e.g. that dotProduct requires equal-sized vectors. LH checks that functions terminate and so warns about the infinite recursion due to the missing case in fib. -
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Kaleidoscope-SDK
User toolkit for analyzing and interfacing with Large Language Models
kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. Users must authenticate using their Vector Institute cluster credentials. This can... -
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Final Cut
A text-based widget toolkit
...The structure of the Qt framework was originally the inspiration for the C++ class design of FINAL CUT. It provides common controls like dialog boxes, push buttons, check boxes, radio buttons, input lines, list boxes, status bars and so on. FINAL CUT uses a virtual terminal to print character via an update method on the screen. It provides (as an overlying layer) virtual windows for the realization of window movements. The update methods only transfer differences to the virtual terminal or physical screen. -
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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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AWS IoT Device SDK for Java v2
Next generation AWS IoT Client SDK for Java
...Consuming this SDK via Maven is the preferred method of consuming it. Supports API 26 or newer. NOTE: The shadow sample does not currently complete on android due to its dependence on stdin keyboard input. You will need to override and provide a ROOT_CERTIFICATE manually from one of the following certificates. -
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GLM-4.6V
GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning
GLM-4.6V represents the latest generation of the GLM-V family and marks a major step forward in multimodal AI by combining advanced vision-language understanding with native “tool-call” capabilities, long-context reasoning, and strong generalization across domains. Unlike many vision-language models that treat images and text separately or require intermediate conversions, GLM-4.6V allows inputs such as images, screenshots or document pages directly as part of its reasoning pipeline — and... -
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UNO
A Universal Customization Method for Single and Multi Conditioning
UNO is a project by ByteDance introduced in 2025, titled “A Universal Customization Method for Both Single and Multi-Subject Conditioning.” It suggests a framework for image (or more general generative) modeling where the model can be conditioned either on a single subject or multiple subjects — which may correspond to generating or customizing images featuring specific people, styles, or objects, possibly with fine-grained control over subject identity or composition. Because the project is... -
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CF-Workers-SUB
Aggregates any of your nodes with multiple subscriptions
CF-Workers-SUB is a project that uses Cloudflare Workers to aggregate or convert multiple subscription sources (for proxy nodes/configs) into a personalized subscription link for the user. Essentially, it lets you input your own node(s) and then generate a unified subscription endpoint that others can use with tools like Clash, Sing-box, or V2Ray. The repository emphasizes being user-friendly for scenarios where one has many proxy/node links but wants to streamline into a single subscription feed. It also supports variable configuration (token, built-in nodes, custom add/CSV/API sources) to produce automated “preferred line” generation. ... -
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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...
