Search Results for "notes" - Page 8
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492 projects for "notes" with 1 filter applied:
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Beautiful Color Selection in Powerpoint
A Powerpoint Presentation to Select Your Favourite Color From a List
Notes: 1. If the Powerpoint Software shows this pptx file, in Protected View, then Enable Editing, to unlock features such as Single Row Copying etc. 2. Once you select any Shape ( including a pasted row ) by clicking on it, you can also move it around, by dragging its edges. Categories: Impress your Clients with a Colorful Powerpoint Presentation , A Color Picker Template For Powerpoint -
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AlgoNotes
Summary of articles from the official account of Qianmeng Study Notes
AlgoNotes is a curated technical knowledge repository focused on recommendation systems, search, advertising, and machine learning. It collects articles, engineering practices, research summaries, and interview materials in one organized index. Major sections cover ranking and conversion prediction, recall and matching, user profiles, and feature engineering. It also includes recommendation and search topics, computational advertising, big data, and graph algorithms. Additional material... -
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System Design Notebook
Learn System Design step by step
...Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what trade-offs come with each choice. The notes often connect abstract concepts to concrete systems such as social networks, feeds, chat, and file storage, which makes it easier to translate theory into design diagrams. It is meant to be expanded over time, so you can treat it as a living notebook you keep coming back to before interviews or architecture reviews. The repo is especially helpful for people who already know the basics of backend but want to articulate system design decisions clearly. -
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V8 Perf
Notes and resources related to v8 and thus Node.js performance
...Profiling material covers inspection tools, runtime flags, performance analysis, and flamegraph generation. Additional notes examine snapshots, code caching, runtime functions, and JavaScript language features from a performance perspective. The repository is primarily a technical reference for developers who want to understand why V8 and Node.js code behaves the way it does. -
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The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
The Art of Linear Algebra is a visual learning resource based on Gilbert Strang's Linear Algebra for Everyone. It uses diagrams and graphic notes to make vector and matrix concepts more intuitive. The material emphasizes understanding calculations and algorithms through the perspective of matrix factorizations. Covered topics include column-row decomposition, Gaussian elimination, Gram-Schmidt orthogonalization, eigenvalue decomposition, and singular value decomposition. Separate visual resources explore eigenvalues and a broader conceptual “Matrix World.” ... -
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POSper
Get the new release!
POSper is a Point Of Sale (POS) System designed for small businesses. We support a wide variety of hardware and databases. We stand committed to the principals of community, collaboration, and communication and welcome everyone who comes by. -
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RedNotebook is a graphical diary and journal helping you to keep track of notes and thoughts. It includes a calendar navigation, customizable templates for each day, export functionality and word clouds. You can also format, tag and search your entries. Please find the latest releases at https://rednotebook.app
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Data Science Collected Resources
Carefully curated resource links for data science in one place
...The repository includes links to materials discussing topics such as artificial intelligence research, AWS infrastructure, machine learning algorithms, and data analysis tools. It also contains supplementary documents like cheat sheets and machine learning notes that help readers review important concepts quickly. -
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Text Classification
All kinds of text classification models and more with deep learning
...It includes classic and advanced models such as fastText, TextCNN, BERT, TextRNN, RCNN, hierarchical attention networks, seq2seq attention, Transformers, dynamic memory networks, entity networks, ensembles, and boosting methods. The repository also includes training, prediction, testing, preprocessing, sample data, cached data guidance, and performance comparison notes. Overall, it is a hands-on reference for developers and researchers who want to experiment with deep learning methods for text classification. -
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Stable Diffusion Web UI
Feature showcase for stable-diffusion-webui
This repository curates a living gallery of examples that demonstrate what the Stable Diffusion Web UI and its ecosystem can do. It documents practical recipes that pair prompts with parameters, samplers, upscalers, and extensions so others can reproduce results reliably. The focus is on education by example: side-by-side comparisons reveal how settings like CFG scale, denoising strength, schedulers, or ControlNet inputs change an image. It also highlights workflows—for instance,... -
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Pattern Recognition and Machine Learning
Repository of notes, code and notebooks in Python
Pattern Recognition and Machine Learning is an open-source repository that provides Python implementations and interactive notebooks for algorithms presented in the book Pattern Recognition and Machine Learning by Christopher Bishop. The project recreates many of the mathematical concepts and diagrams from the book using executable Jupyter notebooks, allowing readers to experiment directly with the algorithms described in the text. Each section of the repository corresponds to chapters in... -
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Linux-Tutorial
Learning repository written from the perspective of a Java programmer
Linux-Tutorial is a Simplified Chinese Linux learning repository written from the perspective of a Java programmer. It aims to help more developers enter the Linux world by organizing practical notes, installation guides, command references, and server setup material. The content covers Linux basics, Ubuntu, CentOS, Kali Linux, VMware, Vim, SSH, Bash, Sed, compression tools, Yum, Zsh, and many development operations topics. It also includes material around common backend infrastructure such as MySQL, Nginx, Jenkins, Elasticsearch, GitLab, FastDFS, and monitoring tools. ... -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent, packaged software tool. ... -
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MySQL Tutorial
Example-driven guide to MySQL
mysql-tutorial is a practical, example-driven guide to MySQL that walks readers from installation and basics to everyday administration and performance techniques. It introduces schema design, data types, and constraints before moving to CRUD operations, joins, subqueries, and aggregation. Transaction control, indexes, and execution plans are explained with real queries so readers can see how design choices affect speed and integrity. The repository also touches on user management,... -
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Unet
Source code for unet-pytorch, which can train its own model
...It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes that U-Net is better suited to datasets with fewer features and shallow visual structures, such as medical image segmentation, rather than complex VOC-style scenes. It is useful for developers and students who want a clear U-Net implementation for segmentation experiments, custom masks, and biomedical-style image analysis. -
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DeepLabv3 Plus
Encoder-Decoder with Atrous Separable Convolution
...The repository supports VOC-style segmentation datasets and includes utilities for annotation generation, JSON dataset conversion, model summary inspection, prediction, and metric calculation. It provides pretrained weight workflows for MobileNetV2 and Xception backbones and notes that the correct backbone should be selected during training and prediction. The project also supports multi-GPU training, multiple backbones, learning rate schedules with step and cosine options, optimizer selection, and adaptive learning rate behavior based on batch size. It is useful for users who want a stronger semantic segmentation baseline than U-Net for scene-level segmentation tasks. -
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English Grammar Notes
Learn English grammar from 0
English Grammar Notes is a community-driven learning resource project aimed at helping learners master English grammar from the ground up through clear explanations, practice examples, and progressive note structure that breaks down complex rules into accessible segments. The repository combines educational content written in simplified English and Chinese alongside structured markdown pages that cover parts of speech, sentence structure, tenses, clauses, and other core grammar topics, making it useful for both self-study and classroom contexts. ... -
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go-fundamental-programming
Set of video and voice tutorials for the Go language
go-fundamental-programming is the code and notes repository for the Chinese video course, a foundational Go programming tutorial aimed at beginners. The author positions it explicitly as a way to share the knowledge and pitfalls accumulated while learning Go, so that new learners can avoid common mistakes and weird corner cases. The course is delivered as a series of lectures, and each lecture has a dedicated lectureX.md file that serves as classroom notes, listing the knowledge points covered and the timestamp at which each segment starts. ... -
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Deeplearning.ai
Study notes, summaries, and auxiliary materials for deep learning
...By organizing the content as “books” or structured notes, it gives students a consistent reference to revisit as models and tooling evolve. Many learners use it to supplement course videos, reinforcing concepts before implementing assignments or projects. As a consolidated guide, it reduces context-switching and helps build a durable mental model of deep learning fundamentals. -
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On Books
Readings and notes on the past, present, and future of books
This project is a curated collection of readings, notes, and reflections on the evolution of books, publishing, writing tools, and reading habits. The repository engages both historical and contemporary perspectives—examining how the form of the book has changed from print to digital, how readers and authors interact in new environments, and what remains of the “book” metaphor. It includes commentary on writing platforms, self-publishing ecosystems, and design of reading experiences, making it useful to writers, educators, technologists, and book-enthusiasts alike. ... -
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JS-Sorting-Algorithm
A GitBook online book on sorting algorithms
JS-Sorting-Algorithm is an educational repository and GitBook-style resource about classic sorting algorithms. It explains sorting as a core topic in data structures and algorithms, with attention to internal sorting, external sorting, time complexity, memory usage, and stability. The guide covers ten major sorting methods, including bubble sort, selection sort, insertion sort, shell sort, merge sort, quicksort, heap sort, counting sort, bucket sort, and radix sort. It compares algorithms by... -
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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. ... -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
...It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. The repository is ideal for those who want a compact, at-a-glance reminder of ML fundamentals without diving back into textbooks. Because the cheat sheet is meant to be portable and broadly useful, it is format-friendly (often in Markdown, PDF, or image formats) and easy to include in learning workflow or slides. -
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TemaTres: controlled vocabulary server
Manage, Publish and Share Ontologies, Taxonomies, Thesauri, Glossaries
Web application for management formal representations of knowledge, thesauri, taxonomies and multilingual vocabularies / Aplicación para la gestión de representaciones formales del conocimiento, tesauros, taxonomías, vocabularios multilingües. For the latest version of code: https://github.com/tematres/TemaTres-Vocabulary-Server -
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Machine-Learning-Notes
Zhou Zhihua's "Machine Learning" push notes
The Machine-Learning-Notes repository contains detailed handwritten-style study notes based on the popular machine learning textbook by Zhou Zhihua. The project focuses on deriving formulas and explaining algorithms step by step so that learners can understand the mathematical foundations behind machine learning methods. The notes span sixteen chapters that cover a wide range of topics, including model evaluation, linear models, decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimensionality reduction, and reinforcement learning. ...
