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Showing 1079 open source projects for "weight"
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Node Rules
Node-rules is a light weight forward chaining rule engine
Node-rules is a forward chaining Rules Engine, written on node.js. Node-rules is a lightweight forward chaining Rule Engine, written in JavaScript. -
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ROC Engine
Simple and light-weight 3D game engine
ROC Engine is a simple and lightweight 3D game engine. Keyframed skeletal animation with hardware skinning. Audio playback with spatialization (Ogg, WAV, FLAC). TrueType font rendering with Unicode characters support. All information about modeling and scripting is available at wiki. Check demo scene resources out for an example of engine usage. -
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WordCloud.jl
Word cloud generator in julia
... results. Each word appears only once, and its font size is determined solely by the provided weight. Words are never repeated or shrunk artificially to fill empty spaces. It utilizes intelligent strategies and efficient nesting algorithms, implemented entirely in Julia (see Stuffing.jl). As a result, it can easily generate high-resolution word clouds. -
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Argo Workflows
Workflow engine for Kubernetes
... Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. Argo Workflows is the most popular workflow execution engine for Kubernetes. It can run 1000s of workflows a day, each with 1000s of concurrent tasks. Our users say it is lighter-weight, faster, more powerful, and easier to use. Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments. -
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Bootstrap Your Own Latent (BYOL)
Usable Implementation of "Bootstrap Your Own Latent" self-supervised
... well. A new paper has successfully replaced batch norm with group norm + weight standardization, refuting that batch statistics are needed for BYOL to work. Simply plugin your neural network, specifying (1) the image dimensions as well as (2) the name (or index) of the hidden layer, whose output is used as the latent representation used for self-supervised training. -
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Observable Plot
A concise API for exploratory data visualization
Observable Plot is a free, open-source JavaScript library to help you quickly visualize tabular data. It has a concise and (hopefully) memorable API to foster fluency — and plenty of examples to learn from and copy-paste. In the spirit of show don’t tell, below is a scatterplot of the height and weight of Olympic athletes (sourced from Matt Riggott), constructed using a dot mark. We assign columns of data (such as weight) to visual properties (such as the dot’s x), and Plot infers the rest. You... -
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Mistral Inference
Official inference library for Mistral models
Open and portable generative AI for devs and businesses. We release open-weight models for everyone to customize and deploy where they want it. Our super-efficient model Mistral Nemo is available under Apache 2.0, while Mistral Large 2 is available through both a free non-commercial license, and a commercial license. -
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Laravel Love
Add Social Reactions to Laravel Eloquent Models
Laravel Love is the emotional part of the application. It lets people express how they feel about the content. Make any model reachable in minutes. This package was developed in mind that it should cover all the possible use cases and be viable in enterprise applications. Fully customizable types of reactions. Any model can react to models and receive reactions at the same time. Reactants can have many types of reactions. Reacter can add many reactions to one reactant. Reacter can react with... -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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CoordinateTransformations.jl
A fresh approach to coordinate transformations
CoordinateTransformations is a Julia package to manage simple or complex networks of coordinate system transformations. Transformations can be easily applied, inverted, composed, and differentiated (both with respect to the input coordinates and with respect to transformation parameters such as rotation angle). Transformations are designed to be light-weight and efficient enough for, e.g., real-time graphical applications, while support for both explicit and automatic differentiation makes... -
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ChainRules.jl
Forward and reverse mode automatic differentiation primitives
The ChainRules package provides a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse--, and mixed-mode primitives. The core logic of ChainRules is implemented in ChainRulesCore.jl. To add ChainRules support to your package, by defining new rules or frules, you only need to depend on the very light-weight package ChainRulesCore.jl. This repository contains ChainRules.jl, which is what people actually use... -
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DDPM-CD
Remote sensing change detection using denoising diffusion models
This is the Pytorch implementation of Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. The generated images contain objects that we commonly see in real remote sensing images, such as buildings, trees, roads, vegetation, water surfaces, etc., demonstrating the powerful ability of the diffusion models to extract key semantics that can be further used in remote sensing change detection. We fine-tune a light-weight change detection head which takes multi-level... -
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Immutables
Annotation processor to create immutable objects and builders
Java annotation processors to generate simple, safe, and consistent value objects. 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.... -
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react-native-graph
Beautiful, high-performance Graphs and Charts for React Native
react-native-graph is a Line Graph implementation based on the high-performance 2D graphics rendering engine "Skia". It's used in the Pink Panda Wallet app to power thousands of token graphs every day. Animations are ran using the Skia animation system and are fully natively interpolated to ensure best possible performance. If animated is false, a light-weight implementation of the graph renderer will be used, which is optimal for displaying a lot of graphs in large lists. -
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Device
Light weight tool for detecting the current device and screen size
Device detects the current device model and screen size. Carthage is a decentralized dependency manager that builds your dependencies and provides you with binary frameworks. Run Carthage update to build the framework and drag the built Device. framework into your Xcode project. The Swift Package Manager is a tool for automating the distribution of Swift code and is integrated into the swift compiler. -
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OPENRNDR
Kotlin library for creative coding, real-time and interactive graphics
OPENRNDR is an open source framework for creative coding, written in Kotlin that simplifies writing real-time interactive software. OPENRNDR provides simple, reusable utilities with which creative coders can build robust, fast, and reliable (interactive) applications for prototyping as well as building production-quality software. With ORML you can easily connect to a number of widely used Machine Learning models, such as Facemesh, Posenet, and Stylegan. You can use OPENRNDR to visualize the... -
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Otter-Grader
A Python and R autograding solution
Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment... -
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FastChat
Open platform for training, serving, and evaluating language models
FastChat is an open platform for training, serving, and evaluating large language model-based chatbots. If you do not have enough memory, you can enable 8-bit compression by adding --load-8bit to the commands above. This can reduce memory usage by around half with slightly degraded model quality. It is compatible with the CPU, GPU, and Metal backend. Vicuna-13B with 8-bit compression can run on a single NVIDIA 3090/4080/T4/V100(16GB) GPU. In addition to that, you can add --cpu-offloading to... -
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Union Pandera
Light-weight, flexible, expressive statistical data testing library
The open-source framework for precision data testing for data scientists and ML engineers. Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. A simple, zero-configuration data testing framework for data scientists and ML engineers seeking correctness. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases. Validate the functions... -
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Phosphor Icons
The homepage of Phosphor Icons, a flexible icon family for everyone
... need to know that. Phosphor's intuitive but powerful API can style the color, size, and weight of an icon with a few keystrokes, provide default styles to all icons via the Context API, or directly manipulate the SVG at runtime through render props to do some amazing things! Supports tree-shaking, so your bundle only includes code for the icons you use. -
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Qooxdoo JavaScript Framework
qooxdoo - Universal JavaScript Framework
qooxdoo is a universal JavaScript framework that enables you to create applications for a wide range of platforms. With its object-oriented programming model, you build rich, interactive applications (RIAs), native-like apps for mobile devices, light-weight traditional web applications or even applications to run outside the browser. You leverage its integrated tool chain to develop and deploy applications of any scale while taking advantage of modern web technologies like HTML5 and CSS3, its... -
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ASP.NET Minimal APIs Made Easy
A light-weight REST API development framework for ASP.Net 6
It nudges you towards the REPR Design Pattern (Request-Endpoint-Response) for convenient & maintainable endpoint creation with virtually no boilerplate. Performance is on par with Minimal APIs. It's faster, uses less memory and does around 45k more requests per second than a MVC Controller in our benchmarks. Convenient business logic validation & error responses. Easy access to environment & configuration settings. Supports policy/permission/role/claim based security. In-process pub/sub... -
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Hugo Book Theme
Hugo documentation theme as simple as plain book
Hugo documentation theme as simple as a plain book. By default, the theme will render pages from the content/docs section as a menu in a tree structure. You can set title and weight in the front matter of pages to adjust the order and titles in the menu. There are a few configuration options that you can add to your config.toml file. A simple blog is supported in the section posts. A blog is not the primary use case of this theme, so it has only minimal features. The theme supports Hugo's... -
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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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Grin
Minimal implementation of the Mimblewimble protocol
... for tomorrow. To be used by anyone, anywhere. Grin is not controlled by any company, foundation, or individual. The coin distribution is designed to be as fair as possible, with emission of 1 GRIN per second. Mimblewimble leverages cryptography to allow past transaction data to be removed with no compromise on security. This avoids Grin collapsing under the weight of data having to be kept on-chain.