Search Results for "material cut optimization"
Sort By:
Showing 38 open source projects for "material cut optimization"
View related business solutions-
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
Read You
An Android RSS reader presented in Material You style
An Android RSS reader presented in Material You style. -
2
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. ... -
3
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... -
4
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. ... -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
5
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. -
6
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. -
7
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. ... -
8
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. ... -
9
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. ... -
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.
-
10
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... -
11
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. -
12
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. -
13
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... -
14
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... -
15
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. -
16
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.
-
17
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. ... -
18
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. -
19
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.
-
20
Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series... -
21
Lantro UI is a responsive Blogger template with useful features. Lantro UI's concentration is on SEO and PageSpeed optimization with better CSS and JS so that users and developers can easily rank. Lantro UI's design was inspired by material UI and neomorphic themes and Lantro UI tries every time to give a better design to you.
-
22
SLAMBook-en
The English version of 14 lectures on visual SLAM
This project is the English version of “14 Lectures on Visual SLAM: From Theory to Practice,” a text and teaching resource about visual simultaneous localization and mapping (SLAM). It provides the full LaTeX source (formerly Markdown) for all 14 chapters, letting readers compile and study the material systematically. Within the repository you’ll find organized subfolders (e.g. chapters, latex, resources) containing the lecture contents, references, figures, and supporting assets for each part of the course. The material covers both foundational theory—geometry, camera models, feature matching, pose estimation—and practical systems components such as optimization, map representation, loop closure, and real-time factors. ... -
23
AndroidOfferKiller
Help you get a better offer
AndroidOfferKiller is a curated collection of Android interview resources aimed at helping developers secure stronger job offers. 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... -
24
SZT-bigdata
SZT‑bigdata is an open source project
SZT‑bigdata is an open-source project analyzing real Shenzhen metro (subway) card usage data using big‑data frameworks like Spark, Hadoop, Hive, Kafka, Flink, ClickHouse, HBase, and Elasticsearch. Aimed at exploring transit passenger flow patterns and system optimization using a variety of Scala-based technologies. -
25
Pack-Print-Cut
Packing two dimensional rectangular elements at orthogonal table
...Packing, optimization, cutting and cleaning table edges section bottom left and statistic section bottom right. Upper left are table description field and cut sheet drawing at the center. Right click at the cut sheet drawing and there are printing options. NOTICE : This program was not created for sellers of chipboard and other board materials.
