Search Results for "optimization" - Page 7
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Showing 283 open source projects for "optimization"
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Antarctica Theme
Stylish and feature-rich theme for Jekyll
The goal of Antarctica is evolving to an elegant and feature-rich theme across platforms. -
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Aleph.js
The Full-stack Framework in Deno
...This, along with Hot Module Replacement (HMR) and Fast Refresh, leads to instant updates in the browser. Aleph.js uses modern tools to build your app. It transpires code using swc in WASM with high performance, and bundles modules with esbuild at optimization time extremely fast. Aleph.js works on top of Deno, a simple, modern and secure runtime for JavaScript and TypeScript. All dependencies are imported using URLs and managed by the Deno cache system. No package.json and node_modules directories are needed. -
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pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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Electron React Boilerplate
A foundation for scalable cross-platform apps
...Changes are made so that the state of your app is not lost. Building scalable apps without types can only go so far. Get type errors while developing your app. Errors are thrown during compile-time and runtime. Optimization and minification of code with webpack come out of the box. This avoids running into performance bottlenecks associated with traditional electron apps. Webpack is one of the most crucial parts of ERB's infrastructure as with many other React projects. It provides us with many optimizations such as dead code stripping, tree shaking, and code splitting to name a few. ... -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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OpenPrompt
An Open-Source Framework for Prompt-Learning
...The template is one of the most important modules in prompt learning, which wraps the original input with textual or soft-encoding sequence. Use the implementations of current prompt-learning approaches.* We have implemented various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard. You can easily call and understand these methods. -
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bundlejs
An online tool to quickly bundle & minify your projects
bundlejs is a web-based JavaScript bundle size analyzer that helps developers understand the impact of their dependencies. It provides real-time insights into bundle size, minification, and tree-shaking effectiveness. -
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Unique Names Generator
Generate unique and memorable name strings
unique-names-generator is a lightweight JavaScript library that generates random, unique, and human-readable names. It is useful for generating usernames, IDs, and other identifiers. -
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printpdf
Rust / WASM library for reading, writing and rendering PDF
...It includes advanced typography capabilities such as character spacing, scaling, superscript, and subscript, as well as support for Unicode text. printpdf also offers optimization features like font subsetting to reduce file size, making generated PDFs more efficient. Experimental capabilities include rendering PDF pages to SVG and extracting text content, expanding its use cases beyond simple document generation. -
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Game-Programmer-Study-Notes
A collection of reading notes from my career as a game programmer
The Game-Programmer-Study-Notes project is a comprehensive collection of study materials aimed at aspiring and professional game developers. It compiles notes, tutorials, and references covering a wide range of topics such as graphics programming, game engine architecture, mathematics, and optimization techniques. The repository is structured to guide learners through fundamental and advanced concepts, making it suitable for both beginners and experienced programmers. It includes insights from industry practices as well as academic knowledge, bridging the gap between theory and real-world application. The content is often supplemented with diagrams, examples, and explanations that clarify complex topics. ... -
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Fecshop (Yii2 Fecshop)
yii2 (PHP) fecmal (fecshop) core code used for ecommerce shop
...It is designed to provide a complete solution for building scalable and customizable online stores. Fecshop offers features like multi-language support, multi-currency options, SEO optimization, and integration with third-party payment gateways. The modular architecture makes it flexible, allowing developers to extend and customize the store as needed. -
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TRFL
TensorFlow Reinforcement Learning
...Pronounced “truffle,” it simplifies the implementation of RL agents by offering reusable components such as loss functions, value estimation tools, and temporal difference (TD) learning operators. The library is designed to integrate seamlessly with TensorFlow, allowing users to define differentiable RL objectives and train models using standard optimization routines. TRFL supports both CPU and GPU TensorFlow environments, though TensorFlow itself must be installed separately. It exposes clean, modular APIs for various RL methods including Q-learning, policy gradient, and actor-critic algorithms, among others. Each function returns not only the computed loss tensor but also a detailed structure containing auxiliary information like TD errors and targets. -
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scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing
scikit-opt is a Python library for solving optimization problems with evolutionary and swarm-intelligence algorithms. It includes genetic algorithms, particle swarm optimization, differential evolution, simulated annealing, ant colony optimization, immune algorithms, and artificial fish swarms. The package can address continuous objectives, constrained problems, and combinatorial tasks such as the traveling salesman problem. -
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Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the... -
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ESLint plugin for React Native
React Native plugin for ESLint
eslint-plugin-react-native is an ESLint plugin that provides linting rules specifically for React Native projects. It ensures best practices, prevents common errors, and helps maintain code quality in React Native applications. -
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libRSF
A robust sensor fusion library for online localization
...The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). The resulting graph optimization problem can be solved by applying non-linear least squares optimization. -
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babel-plugin-macros
Allows you to build simple compile-time libraries
Currently, each babel plugin in the babel ecosystem requires that you configure it individually. This is fine for things like language features but can be a frustrating overhead for libraries that allow for compile-time code transformation as an optimization. babel-plugin-macros defines a standard interface for libraries that want to use compile-time code transformation without requiring the user to add a babel plugin to their build system (other than babel-plugin-macros, which is ideally already in place). There is cpu usage/time overhead; the client needs to run the code to generate these classes every time the page loads. ... -
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Jekyll Starter Kit
Jekyll Progressive Web App Generator
Jekyll Progressive Web App Generator. -
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VS-Code-Extension-Doc-ZH
VS Code Extension Doc in Chinese
...New features and APIs become available every month to increase the power and scope of VS Code extensions. During the translation process, it is inevitable that there will be clerical errors, inadequate translation, and room for optimization. Of course, the most serious chapters or fragments that should be translated are difficult to understand. -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a... -
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XIVO
X Inertial-aided Visual Odometry
XIVO is an open-source repository for visual-inertial odometry/mapping. It is a simplified version of Corvis [Jones et al.,Tsotsos et al.], designed for pedagogical purposes, and incorporates odometry (relative motion of the sensor platform), local mapping (pose relative to a reference frame of the oldest visible features), and global mapping (pose relative to a global frame, including loop-closure and global re-localization, this feature, present in Corvis, is not yet incorporated in XIVO).... -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so parameter updates can be treated as differentiable operations. ... -
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Smart Algorithm
Repository implementing a variety of intelligent algorithms
Smart-Algorithm is a repository implementing a variety of intelligent / metaheuristic optimization algorithms (e.g. Genetic Algorithm, Ant Colony, Particle Swarm, Immune Algorithm). The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning. Particle Swarm Optimization (PSO) implementations in multiple languages. ... -
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Jekyll-Paper
A simple Jekyll theme, helping you to create your own blog
Jekyll Paper is a simple Jekyll theme, and it aims to help you to create your own blog in the easiest way. Unfortunately, Jekyll Paper implements the category page by the 'Jekyll-archive' plugin, and GitHub Pages does not support it. So, this project is for the self-host blog, and the GitHub Pages version is also available in Jekyll Paper for Github. -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
...It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. ...