Search Results for "morse code practice" - Page 7
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Showing 231 open source projects for "morse code practice"
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1
Language Server Protocol
Defines a common protocol for language servers
...Extensions and proposals cover advanced scenarios—like call hierarchies, inlay hints, notebooks, and workspace symbols—allowing incremental adoption as needs grow. In practice, LSP has become the backbone for modern language tooling, enabling consistent developer experiences across VS Code, Neovim, Eclipse, JetBrains IDEs (via plugins), and many others. -
2
ResNeXt
Implementation of a classification framework
...The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. The official repository offers a Torch (Lua) implementation with code for training, evaluation, and pretrained models on ImageNet. In practice, ResNeXt models often outperform standard ResNet models of comparable complexity. -
3
python-is-cool
Cool Python features for machine learning
...The project serves as a curated guide to Python techniques that many developers may overlook or hesitate to use due to unfamiliarity. It demonstrates practical language features, idiomatic programming patterns, and useful tricks that can make Python code more expressive, efficient, and elegant. Much of the content is presented through interactive Jupyter notebooks so users can experiment directly with the examples and understand how each feature behaves in practice. The repository targets developers who already know basic Python but want to deepen their understanding of the language’s advanced features. ... -
4
Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
...The repository is designed for learners who want to connect deep learning concepts with executable examples. Overall, it is a structured PyTorch practice resource for beginners and early deep learning practitioners. -
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5
Miaosha
Design and implementation of flash sale system
Miaosha is a high-concurrency “flash sale” (秒杀) demo that explores how to design a backend capable of withstanding extreme, bursty traffic during limited-time events. It illustrates patterns like cache-first reads for hot data, request rate limiting, and asynchronous order processing to protect databases under load. The project demonstrates stock deduction strategies designed to avoid overselling, combining pre-decrement in cache with reliable persistence and message-driven confirmation.... -
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Coursera Machine Learning
Coursera Machine Learning By Prof. Andrew Ng
CourseraMachineLearning is a personal collection of resources, notes, and programming exercises from Andrew Ng’s popular Machine Learning course on Coursera. It consolidates lecture references, programming tutorials, test cases, and supporting materials into one repository for easier review and practice. The project highlights fundamental machine learning concepts such as hypothesis functions, cost functions, gradient descent, bias-variance tradeoffs, and regression models. It also organizes week-by-week course schedules with links to exercises, lecture notes, and additional resources. Alongside the official coursework, the repository includes supplemental explanations, code snippets, and references to recommended textbooks and external materials. ... -
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flutter-beginners-tutorial
All course files for the Flutter Beginners playlist
flutter-beginners-tutorial is a repository of lesson files for The Net Ninja’s Flutter Beginners playlist. It gives learners a practical way to follow the course by switching to the branch that matches a specific lesson. Each lesson branch contains the code state for that point in the tutorial, which helps users inspect examples without falling behind. The repository also notes that cloned projects may require running package installation commands before use. It is intended for people... -
8
Girls-In-AI
Free learning code series: Xiaobai's introduction to Python
Girls-In-AI is an educational repository created to encourage women and beginners to learn programming and artificial intelligence through accessible tutorials and practice materials. The project provides a collection of beginner-friendly learning resources covering Python programming, data analysis, machine learning, and deep learning topics. It aims to lower the barrier to entry for people who want to enter the field of artificial intelligence by offering structured learning paths and... -
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Modern JavaScript
All lecture files from the Modern JavaScript (Novice to Ninja) course
Modern JavaScript is a repository of lecture files for The Net Ninja’s Modern JavaScript: Novice to Ninja course on Udemy. It is structured with separate branches for individual lessons, allowing learners to open the exact code associated with a specific part of the course. The repository supports hands-on practice with modern JavaScript concepts rather than acting as a general-purpose library. It is helpful for students who want to compare their own code with course examples. The material is especially relevant for learners moving beyond basic syntax into browser scripting, application logic, and more practical JavaScript patterns. ... -
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10
Unwrap
Learn Swift interactively on your iPhone
...Created as a companion to educational content, it focuses on teaching fundamental and advanced concepts in a hands-on manner. The app presents exercises that require users to write and refine Swift code, reinforcing understanding through practice rather than passive learning. It covers a wide range of topics, including syntax, control flow, optionals, and more advanced language features. The interface is designed to be approachable and engaging, encouraging consistent learning through bite-sized challenges. Unwrap also tracks progress, allowing users to see their improvement over time and stay motivated. ... -
11
Flutter Go
Demos and documentation for over 140 Flutter UI components
...It organizes the Flutter ecosystem into browsable categories—basic widgets, material components, Cupertino elements, layout primitives, and animation demos—so learners can see how pieces behave in a running app. Each entry typically includes a live example, code snippet, and brief notes on properties or usage, turning the app into a hands-on reference you can run on your phone. The project targets newcomers and teams evaluating Flutter by shortening the path from documentation to tangible UI behavior. Because it’s itself a Flutter app, it demonstrates real project structure, navigation, state handling, and theming in practice. ... -
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angularjs-style-guide
Community-driven set of best practices for AngularJS application
angularjs-style-guide is a community-driven style guide providing a comprehensive set of best practices, conventions, and architectural recommendations for developing applications with the AngularJS framework. It codifies directory structure, naming conventions, module organization, controllers, directives, services, templates, routing, testing, and other AngularJS-specific patterns — offering a consistent baseline for teams working on medium- to large-scale AngularJS apps. By prescribing... -
13
Play-With-Sort-OC
Repository implemented in Objective-C with sorting algorithms
Play-With-Sort-OC is a learning-oriented repository implemented in Objective-C that demonstrates several classic sorting algorithms with code examples (selection sort, bubble sort, insertion sort, quick sort variants, heap sort, etc). The goal is educational; by showing how each algorithm works with animations or clear visualizations in an iOS/Objective-C context, the author helps developers understand not just the “how” but also the “why” behind each algorithm. The repo is especially suited... -
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Finetune Transformer LM
Code for "Improving Language Understanding by Generative Pre-Training"
...It documents that runs are non-deterministic due to certain GPU operations and reports a median accuracy over multiple trials that is slightly below the single-run result in the paper, reflecting expected variance in practice. The project ships lightweight training, data, and analysis scripts, keeping the footprint small while making the experimental pipeline transparent. It is provided as archived, research-grade code intended for replication and study rather than continuous development. -
15
Lihang
Statistical learning methods (2nd edition) [Li Hang]
Lihang is an open-source repository that provides educational notes, mathematical derivations, and code implementations based on the book Statistical Learning Methods by Li Hang. The repository aims to help readers understand the theoretical foundations of machine learning algorithms through practical implementations and detailed explanations. It includes notebooks and scripts that demonstrate how key algorithms such as perceptrons, decision trees, logistic regression, support vector machines, and hidden Markov models work in practice. -
16
SG2Im
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201
...This separation lets the model reason about geometry and composition before committing to texture and color, improving spatial fidelity. The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. In practice, sg2im demonstrates how structured semantics can guide generative models to produce controllable, compositional imagery. -
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EthereumCasts
Companion repo to an Ethereum/Solidity course on Udemy
EthereumCasts is the companion repository for a Udemy course on Ethereum and Solidity development. It contains example projects that help learners understand smart contracts, blockchain interaction, contract deployment, and JavaScript-based Ethereum tooling. The repository is intended to support hands-on lessons rather than function as a production blockchain application. It gives students working code they can inspect, run, and modify while following the course. Typical learning themes... -
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Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks"
Learn_Deep_Learning_in_6_Weeks compresses an introductory deep learning curriculum into six weeks of structured learning and practice. It begins with neural network fundamentals and moves through convolutional and recurrent architectures, optimization strategies, regularization, and transfer learning. The materials emphasize code-first understanding: building small models, training them on accessible datasets, and analyzing their behavior. Each week culminates in a tangible outcome—such as a working classifier or sequence model—so progress is visible and motivating. ... -
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Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months"
This repository outlines an ambitious self-study curriculum for learning machine learning in roughly three months, emphasizing breadth, momentum, and hands-on practice. It sequences core topics—math foundations, classic ML, deep learning, and applied projects—so learners can pace themselves week by week. The plan mixes reading, lectures, coding assignments, and small build-it-yourself projects to reinforce understanding through repetition and implementation. Because ML is a wide field, the... -
20
MORSELIZER - morse with Arduino
A non blocking morse training software for Arduino
An asynchronous Text to Morse Converter and Morse training software for Arduino Uno, based on interrupts and Timer1. And because it doesn't use that evil delay() function, this solution morselizes random letters or whatever it receives through its serial() interface, in a non blocking manner. https://github.com/vicival/morselizer -
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mAP
Evaluates the performance of your neural net for object recognition
In practice, a higher mAP value indicates a better performance of your neural net, given your ground truth and set of classes. The performance of your neural net will be judged using the mAP criteria defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both give the same results). -
22
pyhanlp
Chinese participle
...The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch. -
23
DataScienceR
a curated list of R tutorials for Data Science, NLP
The DataScienceR repository is a curated collection of tutorials, sample code, and project templates for learning data science using the R programming language. It includes an assortment of exercises, sample datasets, and instructional code that cover the core steps of a data science project: data ingestion, cleaning, exploratory analysis, modeling, evaluation, and visualization. Many of the modules demonstrate best practices in R, such as using the tidyverse, R Markdown, modular scripting,... -
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GoCasts
Companion repo to a course on Udemy
GoCasts is a companion repository for Stephen Grider’s Go: The Complete Developer’s Guide course. It contains Go source code and diagrams that support the lessons in the course. The repository is meant to help learners practice Go fundamentals through concrete examples rather than only reading syntax explanations. It covers beginner and intermediate Go concepts such as packages, structs, interfaces, maps, slices, channels, routines, testing, and program organization. -
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spring-boot-api-project
A seed project based on Spring Boot & MyBatis
Spring Boot API Project Seed is a seed project based on Spring Boot & MyBatis, which is used to quickly build small and medium-sized API and RESTful API projects. This seed project has already been practiced by many real projects. It is stable, simple and fast, which makes us get rid of Those who repeat the work, focus on the writing of business code, reduce overtime. The following is a simple usage demonstration to see how to implement a set of simple APIs in just a few tens of seconds...
