Search Results for "optimization" - Page 8
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Showing 369 open source projects for "optimization"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. ... -
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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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Deep Daze
Simple command line tool for text to image generation
...Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and optionally the number of initial training steps. We can also feed in an image as an optimization goal, instead of only priming the generator network. Deepdaze will then render its own interpretation of that image. The regular mode for texts only allows 77 tokens. If you want to visualize a full story/paragraph/song/poem, set create_story to True. -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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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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MACE
Deep learning inference framework optimized for mobile platforms
...Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. Graph level memory allocation optimization and buffer reuse are supported. The core library tries to keep minimum external dependencies to keep the library footprint small. -
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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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The ASCO project aims to bring circuit optimization capabilities to existing SPICE simulators using a high-performance parallel differential evolution (DE) optimization algorithm. It supports Eldo, HSPICE, LTspice, Spectre, and Qucs.
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Apricot DB
Database ERD- design tool with Reverse Engineering
Design/Reverse Engineer/Generate Scripts/Compare Versions of all major databases with "Apricot DB" ERD- tool "Apricot DB" is a database tool for design and analysis of the relational database structure. It represents the DB- structure in the form of editable Entity/Relationship Diagrams (ERD). "Apricot DB" allows to perform reverse engineering on the existing database, as well as to create a new database structure from scratch. Allows to generate the essential DDL- scripts for... -
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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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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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TNN
Uniform deep learning inference framework for mobile
...It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. ... -
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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms,... -
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Android Tech Frontier
Translates high-quality Android technology, open source libraries
...The repository aggregates articles, analysis, and mini-tutorials that explore topics such as ART and Dalvik internals, memory management, rendering pipelines, custom view performance optimization, threading and concurrency on Android, JNI interactions, and network stack behavior. Instead of being a simple “how-to” list, it dives into the “why” behind complex behaviors, helping developers reason about Android system design and tradeoffs at a deeper level. This makes the resource suitable for engineers working on performance-critical apps, large codebases, or teams that debug subtle systemic bugs. -
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AndroidOfferKiller
Help you get a better offer
...It brings together notes and materials across topics such as Java and JVM basics, Android fundamentals, design patterns, data structures and algorithms, and LeetCode-style problem solutions. The repository also links to deep-dive articles on performance and common pitfalls, for example RecyclerView stutter and optimization strategies, making it a practical study companion rather than just a list of questions. It includes sections about referral channels and hiring information for certain companies, highlighting real-world hiring context in addition to theory. The project positions itself as an all-in-one preparation hub where you can review core CS topics, Android specifics, and optimization best practices before interviews. ...
