Search Results for "material cut optimization"
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Showing 46 open source projects for "material cut optimization"
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Coursera-ML-AndrewNg-Notes
Personal notes from Wu Enda's machine learning course
...The project aims to help students understand the mathematical concepts, algorithms, and intuition behind fundamental machine learning techniques taught in the course. It organizes the material into clear written summaries that accompany each lecture topic, including supervised learning, regression methods, neural networks, and optimization algorithms. The repository often expands on the original lecture material by adding additional explanations, diagrams, and formulas that clarify the theoretical foundations of the algorithms. ... -
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Amaze File Manager
Material design file manager for Android
Amaze File Manager is an open source Material Design file manager for Android. It makes Material Design's exceptional features easier than ever to access on your Android device. It comes with an easy-to-use navigation drawer for quick navigation plus plenty of awesome features. It allows you to work on multiple tabs at a time; provides quick access to history, bookmarks or any file; has an inbuilt Database Reader, Zip/Rar Reader, Apk Reader, Text Reader and so much more! Amaze File Manager... -
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Read You
An Android RSS reader presented in Material You style
An Android RSS reader presented in Material You style. -
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Andrew NG Notes Collection
This is Andrew NG Coursera Handwritten Notes
Andrew-NG-Notes is a repository that provides comprehensive study notes for Andrew Ng’s widely known machine learning course. The project summarizes the key topics covered in the course, including supervised learning, neural networks, optimization algorithms, and model evaluation techniques. The notes aim to simplify complex mathematical explanations by organizing concepts into clear sections with diagrams, formulas, and concise descriptions. Each chapter mirrors the structure of the course curriculum, allowing students to review the material in a systematic way while following along with the lectures. ... -
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high-performance-go
high performance coding with golang
High Performance Go is an educational repository focused on writing faster and more memory-efficient Go programs. It teaches developers how to measure performance before attempting optimization. Benchmarking and pprof are used to identify bottlenecks and compare implementation choices. The material examines strings, slices, loops, reflection, empty structs, and memory alignment. It also explores concurrency performance through mutexes, goroutine control, sync.Pool, sync.Once, and sync.Cond. Additional chapters cover compiler optimization, escape analysis, dead-code elimination, binary size, and common Go traps. -
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Deep Learning Interviews book
Hundreds of fully solved job interview questions
...The project was created to help students, researchers, and engineers prepare for machine learning and deep learning interviews by providing structured explanations of key concepts. The repository organizes problems across topics such as neural networks, optimization, probabilistic models, and mathematical foundations of machine learning. Each question is accompanied by detailed solutions that explain the reasoning behind the answers and the theoretical concepts involved. In addition to interview preparation, the material also serves as a condensed overview of many core topics taught in graduate-level machine learning programs. -
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React Basics
Learning repository centered on React 19
React Basics is a comprehensive learning repository centered on React 19 and the wider modern React ecosystem. It covers JSX, components, props, state, lifecycle behavior, forms, Context, and major React hooks. Intermediate and advanced material explores performance optimization, error boundaries, lazy loading, Suspense, and code splitting. State management resources include Redux, Redux Toolkit, middleware, selectors, and RTK Query. Testing material covers Jest, React Testing Library, snapshots, mocks, and unit-testing patterns. The repository also extends into React Router and Next.js concepts such as Server Components, App Router, SSR, SSG, and ISR. ... -
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VARLET
A Vue3 component library based on Material Design 2 and 3
Varlet UI is a Material design component library developed based on Vue3, supporting mobile and desktop, developed and maintained by varletjs organization. Support Typescript, import on demand, dark mode, theme customization, internationalization, and provide VSCode plugin to ensure a good development experience. -
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Rust Training Books
Beginner, advanced, expert level Rust training material
Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. It reflects Rust’s core philosophy of safety and performance, helping developers understand how to write efficient and memory-safe applications. The repository is organized in a modular way, allowing learners to progress step by step while reinforcing concepts through exercises and real-world scenarios. ... -
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SLAM in Autonomous Driving Book
SLAM Technology in Autonomous Driving
SLAM in Autonomous Driving Book is the open-source code companion to the book SLAM in Autonomous Driving. It focuses on localization and mapping systems that combine LiDAR, IMU, GNSS, and vehicle motion data. The material begins with geometry, kinematics, Kalman filtering, inertial navigation, preintegration, and graph optimization. It then implements point-cloud processing, nearest-neighbor structures, ICP, NDT, scan matching, occupancy grids, and loop closure. Readers build both loosely coupled and tightly coupled LiDAR-inertial odometry systems. ... -
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TechCPP
C++ learning and interview guide aimed at back-end systems developers
...It gathers frequently asked concepts and deep dives—value categories (lvalue/rvalue), perfect forwarding, casts, memory models, atomics, and more—into a structured, readable format. The material goes beyond syntax to discuss performance, optimization techniques, and how standard library containers are implemented under the hood. You’ll also find practical debugging and tooling advice, such as using gdb to diagnose deadlocks or reasoning about concurrency primitives. The repository organizes topics so you can quickly locate weak spots before interviews or brush up for day-to-day coding. ... -
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Deep Learning Is Nothing
Deep learning concepts in an approachable style
Deep-Learning-Is-Nothing presents deep learning concepts in an approachable, from-scratch style that demystifies the stack behind modern models. It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks. Once the fundamentals are clear, the material extends to CNNs, RNNs, and attention mechanisms, explaining why each architecture suits particular tasks. ... -
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Machine Learning Engineering Open Book
Machine Learning Engineering Open Book
...It is heavily oriented toward practitioners who need hands-on solutions, including copy-paste commands, infrastructure comparisons, and performance tuning strategies. The material spans the full ML lifecycle, from hardware selection and distributed training to inference optimization and debugging. Rather than focusing purely on theory, the project emphasizes engineering tradeoffs and production realities that often determine success at scale. It is continuously updated as a knowledge dump, making it especially valuable for engineers operating complex AI systems in the wild. -
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Purelog Theme for Jekyll
A responsive sidebar Jekyll theme, created with the Pure.css framework
A responsive, well-designed template to help you get started on your next blog or website. Purelog is a responsive, sidebar theme for the popular JAMstack generator Jekyll that only uses the minimal Pure.css framework (hence the name!), while still following the best practices possible for accessibility and search engine optimization. This project is aimed at those looking for an interesting theme for Jekyll that has features that aren't found commonly elsewhere, specifically having separate... -
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Android Open Project
A categorized collection of Android Open Source Projects
...Rather than being a single app or library, this repository aggregates multiple independent projects, demos, and code examples covering a wide range of Android development topics — from UI components and network utilities to architectural patterns and common tools — serving as both educational material and reusable assets for building apps. Because it is categorized and indexed, developers can browse examples that illustrate different aspects of Android programming, whether they’re experimenting with custom views, data persistence, networking, or performance optimization. -
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Three.js Object Sculptor
Codex plugin that turns attached object images into code-only
Three.js Object Sculptor is a Codex plugin that converts a reference image into a procedural Three.js object written entirely in code. It first evaluates whether the image is suitable and produces an ObjectSculptSpec describing geometry, materials, lighting, hierarchy, pivots, and quality targets. Codex then follows staged passes from blockout and structural work through surface detail, interaction design, and optimization. Generated models include meaningful sockets and anchors for... -
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Agent Skills
Agent skills for designers and builders using Codex, Claude, Cursor
...Its skills are written as portable Markdown playbooks that can be loaded by Codex, Claude, Cursor, and other coding agents. The collection spans web design, game development, media workflows, automation, performance optimization, auditing, and prompt generation. Each skill focuses on procedural steps, useful defaults, guardrails, and acceptance checks instead of broad reference material. Optional folders can include scripts, assets, examples, articles, references, and runnable demos. The repository currently contains more than one hundred skills organized into multiple categories. ... -
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Continuation Core and Toolboxes (COCO)
Toolboxes for parameter continuation and bifurcation analysis.
Development platform and toolboxes for parameter continuation, e.g., bifurcation analysis of dynamical systems and constrained design optimization. This material is based upon work partially supported by the National Science Foundation under Grant No. 1016467 and the Danish research council (FTP) under the project number 0602-00753B. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation or other funding sources. ... -
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FOSS-Root-Checker
A Modern Open-Source Root Checker App for Android 6+!
... - Performance: All checks run on a background thread (Dispatchers.IO) to keep your device responsive. Key Features: - Ultra Low Footprint: Only 1.54MB. - Privacy First: No ads, no data collection, and no internet permission. - Optimization: Reduced animations for devices with less than 4GB RAM. - Modern UI: Material You design with Monet theming support. - Wide Compatibility: Supports Android 6. -
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Windows System Maintenance Tool is an application designed to assist users in performing system maintenance on Windows platforms. A comprehensive, modern Windows 11 maintenance application built with .NET 10.0 and WPF, featuring an elegant Material Design interface. This tool provides system administrators and power users with easy access to essential Windows maintenance and optimization features.
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Arctic Shield Mobile Protection Suite
Technical research project for mobile display protection technologies.
# Arctic Shield Mobile Protection Suite Arctic Shield Mobile Protection Suite on tekninen tutkimus- ja kehityshanke, joka keskittyy mobiilinäyttöjen suojausteknologioihin, hydrogeelikalvojen kestävyyteen, laajempiin materiaalitesteihin ja asennusmenetelmien optimointiin. Projektin tavoitteena on tuottaa riippumatonta, teknistä tutkimusdataa eri näytönsuojaratkaisujen ominaisuuksista, kuten naarmunkestävyydestä, itsekorjaavuudesta, kosketusviiveestä, pintaenergian käyttäytymisestä sekä... -
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NKTg AI NKTg AI Logo Language Decoding System Measure semantic structure. Extract Core Content. Support better decisions. Overview NKTg AI is a deterministic Language Decoding System that measures the semantic structure of text to identify its Core Content. Unlike traditional AI summarization systems, NKTg AI does not generate new information or rewrite documents. Instead, it analyzes the internal semantic structure of a text and extracts the sentence that carries the highest...
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slambook
Code for new book about visual SLAM
slambook is the companion code repository for the first edition of 14 Lectures on Visual SLAM: From Theory to Practice. It organizes practical C++ examples by book chapter so readers can compile, run, and modify each concept. The material progresses from Linux, CMake, rigid-body motion, Eigen, Lie groups, and camera models to complete SLAM components. It demonstrates nonlinear optimization with Ceres and g2o, feature-based visual odometry, and direct visual odometry. Later sections cover backend optimization, pose and factor graphs, loop closure, and dense reconstruction. ... -
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ProxSDP.jl
Semidefinite programming optimization solver
ProxSDP is an open-source semidefinite programming (SDP) solver based on the paper "Exploiting Low-Rank Structure in Semidefinite Programming by Approximate Operator Splitting". The main advantage of ProxSDP over other state-of-the-art solvers is the ability to exploit the low-rank structure inherent to several SDP problems. -
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The design of a superconducting, cryogenic system of magnets is a complex task. Physicists and engineers are confronted with several design and optimization choices of superconducting material, cable layout, stability, protection, losses, cooling, forces, stresses and, last but not least, manufacturing issues. SuperMagnet is the first integrated suite of software tools developed specifically to attack these tasks, covering all electromagnetic and thermal aspects in the design of a cryogenic, superconducting, magnetic system.
