Search Results for "input-leap" - Page 19
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Showing 3570 open source projects for "input-leap"
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1
Isaac ROS Visual SLAM
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
...Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated to provide real-time, low-latency results in a robotics application. VSLAM provides an additional odometry source for mobile robots (ground-based) and can be the primary odometry source for drones. VSLAM provides a method for visually estimating the position of a robot relative to its start position, known as VO (visual odometry). ... -
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Piranha
A tool for refactoring code related to feature flag APIs
...Unnecessary code clutter increases the overall complexity w.r.t maintenance resulting in reduced developer productivity The flags can interfere with other experimental flags (e.g., due to nesting under a flag that is always false) Presence of unused code in the source as well as the binary. Stale flags can also cause bugs. Piranha is a tool to automatically refactor code related to stale flags. At a higher level, the input to the tool is the name of the flag and the expected behavior, after specifying a list of APIs related to flags in a properties file. -
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nichenetr
NicheNet: predict active ligand-target links between interacting cells
...The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest. This model of prior information on potential ligand-target links can then be used to infer active ligand-target links between interacting cells. ... -
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Rubick
Electron based open source toolbox, free integration of rich plug-ins
Based on the electron open-source toolbox, free integration of rich plug-ins, creates the ultimate desktop efficiency tool, Rubick is one of the heroes of Dota, The core skill is the ability to use other heroes as plug-ins, Finished the walk, Very consistent with the design concept of this tool, So named Rubick. Plug-in management is based on npm package mode, installing plugins is as easy as installing npm packages. Support system plug-ins, as long as rubick is running, plug-ins can be used... -
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5
Middy
The stylish Node.js middleware engine for AWS Lambda
...One of the main strengths of serverless and AWS Lambda is that, from a developer perspective, your focus is mostly shifted toward implementing business logic. Anyway, when you are writing a handler, you still have to deal with some common technical concerns outside business logic, like input parsing and validation, output serialization, error handling, etc. -
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TanStack Form
Headless, performant, and type-safe form state management
TanStack Form is a powerful, headless form management library designed to simplify form handling in web applications. It offers a flexible and extensible API that allows developers to manage form state, validation, and submission with ease. By providing a headless architecture, TanStack Form enables seamless integration with various UI frameworks and custom components, promoting a clean separation between form logic and presentation. -
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Crowbook LaTeX
Converts books written in Markdown to HTML, LaTeX/PDF and EPUB
Crowbook's aim is to allow you to write a book in Markdown without worrying about formatting or typography and let the program generate HTML, PDF and EPUB output for you. Its focus is novels and fiction, and the default settings should (hopefully) generate readable books with correct typography without requiring you to worry about it. -
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imodelsX
Interpretable prompting and models for NLP
Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better features via LLMs, but at test-time, they are extremely fast and completely transparent. -
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Budget
Get a grip on your finances
...It is built as a self-hostable platform, giving users full control over their financial data while still offering the convenience of a modern web interface. The application allows users to input transactions manually or import them from CSV files, making it adaptable to different workflows and banking systems. It includes tagging systems for categorizing expenses, enabling detailed analysis of spending habits and financial priorities. Budget also provides reporting tools that generate visual insights such as weekly balances and category breakdowns, helping users understand trends over time. ... -
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CS-Ebook
Curated list of classic, high-quality computer science books
...Its organized structure allows users to navigate topics efficiently and follow a progressive learning path. Contributions are encouraged, ensuring the list evolves with community input and continues to highlight valuable resources. -
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prompt-kit
Core building blocks for AI apps
...Prompt Kit emphasizes accessibility, performance, and design consistency, making it suitable for production-grade applications that require both functionality and visual quality. It abstracts common UI challenges associated with AI interfaces, such as managing input states, displaying dynamic outputs, and handling conversational flows. -
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Proxmox
Proxmox VE Helper-Scripts
Proxmox VE Helper-Scripts is a community-driven collection of scripts designed to simplify the deployment and management of containers and virtual machines in Proxmox Virtual Environment (VE). These scripts provide an interactive setup process where users can choose between basic configurations that follow defaults or advanced configurations that allow for detailed customization. By automating repetitive and complex tasks, the project helps homelab enthusiasts, self-hosters, and system... -
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whylogs
The open standard for data logging
whylogs is an open-source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond... -
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Sanitize
Ruby HTML and CSS sanitizer
...Sanitize is based on the Nokogiri HTML5 parser, which parses HTML the same way modern browsers do, and Crass, which parses CSS the same way modern browsers do. As long as your allowlist config only allows safe markup and CSS, even the most malformed or malicious input will be transformed into safe output. -
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pybaselines
Library of algorithms for baseline correction of experimental data
pybaselines is a Python library that provides many different algorithms for performing baseline correction on data from experimental techniques such as Raman, FTIR, NMR, XRD, XRF, PIXE, etc. The aim of the project is to provide a semi-unified API to allow quick testing and comparing multiple baseline correction algorithms to find the best one for a set of data. pybaselines has 50+ baseline correction algorithms. These include popular algorithms, such as AsLS, airPLS, ModPoly, and SNIP, as... -
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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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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. -
18
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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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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Delaunator
Fast JavaScript library for Delaunay triangulation of 2D points
Delaunator is a fast library for Delaunay triangulation. It takes as input a set of points. The triangulation is represented as compact arrays of integers. It’s less convenient than other representations but is the reason the library is fast. After constructing a delaunay = Delaunator.from(points) object, it will have a triangles array and a halfedges array, both indexed by half-edge id. What’s a half-edge? -
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carbon CLI
Beautiful images of your code, from right inside your terminal
carbon.now.sh by is a wonderful tool that lets you generate beautiful images of your source code through an intuitive UI, while letting you customize aspects like fonts, themes, window controls and much more. carbon-now-cli gives you the full power of Carbon, right at your fingertips, inside the terminal. Generate beautiful images from a source file, or sections of a source file, by running a single command. Want to customize everything before generating the image? Run it in interactive... -
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Setup PHP in GitHub Actions
GitHub action to set up PHP with extensions, php.ini configuration
GitHub action to set up PHP with extensions, php.ini configuration, coverage drivers, and various tools. Setup PHP with required extensions, php.ini configuration, code-coverage support and various tools like composer in GitHub Actions. This action gives you a cross-platform interface to set up the PHP environment you need to test your application. Refer to Usage section and examples to see how to use this. Refer to the self-hosted setup to use the action on self-hosted runners. Operating... -
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Screenshot to Code
A neural network that transforms a design mock-up into static websites
Screenshot-to-code is a tool or prototype that attempts to convert UI screenshots (e.g., of mobile or web UIs) into code representations, likely generating layouts, HTML, CSS, or markup from image inputs. It is part of a research/proof-of-concept domain in UI automation and image-to-UI code generation. Mapping visual design to code constructs. Code/UI layout (HTML, CSS, or markup). Examples/demo scripts showing “image UI code”. -
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LlamaParse
Parse files for optimal RAG
LlamaParse is a GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers. -
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Flock
Flock is a workflow-based low-code platform for building chatbots
Flock is a workflow-based low-code platform designed for building AI applications such as chatbots, retrieval-augmented generation systems, and multi-agent workflows. The platform uses a visual workflow architecture where different nodes represent processing steps such as input processing, model inference, retrieval operations, and tool execution. Developers can connect these nodes to create complex pipelines that orchestrate multiple language models and external services. Built on technologies such as LangChain, LangGraph, FastAPI, and Next.js, Flock combines a modern web interface with a flexible backend capable of supporting advanced AI workflows. ...
