Search Results for "code blocks sample" - Page 12
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Showing 567 open source projects for "code blocks sample"
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HelloSilicon
An introduction to ARM64 assembly on Apple Silicon Macs
An introduction to assembly on Apple Silicon Macs. In this repository, I will code along with the book Programming with 64-Bit ARM Assembly Language, adjusting all sample code for Apple's ARM64 line of computers. While Apple's marketing material seems to avoid a name for the platform and talks only about the M1 processor, the developer documentation uses the term "Apple Silicon". You need Xcode 12.2 or later, and to make things easier, the command line tools should be installed. ... -
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NTU RGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. Multi-modal action... -
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Premonition
Add block-styled content to your site. Like summaries, notes and hints
Premonition is a Jekyll plugin that can transform Markdown blockquotes into styled blocks of code. The default template and stylesheet focus on creating info boxes, but through the templating system, you can modify it to suit your needs. With version 4 we also introduced a new citation box. -
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Code Cookbook
Reusable code patterns which you can use as reference or copy
Reusable code patterns which you can use as reference or copy to your project. Achieve small or large tasks using recipes that contain steps, scripts, and config files. -
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dat.GUI
dat.gui is a lightweight controller library for JavaScript
A lightweight graphical user interface for changing variables in JavaScript. The easiest way to use dat.GUI in your code is by using the built source at build/dat.gui.min.js. These built JavaScript files bundle all the necessary dependencies to run dat.GUI. If you're using a server with a Content Security Policy in place that blocks 'unsafe-inline', you will have problems when dat.gui.js tries to inject style information. To get around this, load 'build/dat.gui.css' as an external style sheet. ... -
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Following Instructions with Feedback
Training Language Models to Follow Instructions with Human Feedback
The following-instructions-human-feedback repository contains the code and supplementary materials underpinning OpenAI’s work in training language models (InstructGPT models) that better follow user instructions through human feedback. The repo hosts the model card, sample automatic evaluation outputs, and labeling guidelines used in the process. It is explicitly tied to the “Training language models to follow instructions with human feedback” paper, and serves as a reference for how OpenAI collects annotation guidelines, runs preference comparisons, and evaluates model behaviors. ... -
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React For Beginners
Starter files for learning React.js with React for Beginners
React For Beginners serves as the official starter code bundle for the “React For Beginners” course by Wes Bos, designed to help developers follow along (or revisit later) with the hands-on app built in the video series. The code includes the base app (“Catch of the Day”) and the stepped solutions at each video stage, giving learners a way to either build up by themselves or reference the exact result when needed. Because the project uses modern React tooling (Webpack, create-react-app style... -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
...You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance. -
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Dev Cheatsheets
A collection of code snippets and CLI guides for quick reference
A collection of code snippets and CLI guides for quick and easy reference while coding. Coding ingredients or building blocks. This is about having a central reference for language syntax or CLI features, without having to wade through docs and tutorials and StackOverflow. A reference for how to use a CLI tool, language or library. It’s mean to be a quick reference so you can get what you need without having to scroll or navigate a lot. -
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AI Platform Training and Prediction
Cloud ML Engine repo
AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. The repository covers the full machine learning lifecycle, including data preprocessing, model... -
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E-XD++ Label Report Design
Ticket printing, bill printing, label printing, document printing
Ticket printing, bill printing, label printing, document printing, barcode printing, batch printing, packaging printing and design, variable data printing, database printing, Source Code Solution for C/C++, .NET and Web E-XD++ source code visualization component library provides you with the most comprehensive report printing solutions, we provide the function of the current application covers the most comprehensive design and printing support. You do not even simple to write any line of code, directly to the sample programs we provide documentation compiled together to have a label, business cards, CD covers and other design software systems to print. ... -
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Trax
Deep learning with clear code and speed
Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively used and maintained in the Google Brain team. Run a pre-trained Transformer, create a translator in a few lines of code. Features and resources, API docs, where to talk to us, how to open an issue and more. Walkthrough, how Trax works, how to make new models and train on your own data. Trax includes basic models (like ResNet, LSTM, Transformer) and RL algorithms (like REINFORCE, A2C, PPO). It... -
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TextMate
TextMate is a graphical text editor for macOS 10.12 or later
Powerful and customizable text editor with support for a huge list of programming languages and developed as open source. Making multiple changes at once, swapping pieces of code, and a lot more is made trivial with TextMate’s easy way to add multiple insertion points. Select what you want to search, what you want to search for, and TextMate will present the results in a way that makes it easy to jump between matches, extract matched text, or preview desired replacements. See what files have... -
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JDynamiTe, Dynamic Template in Java
Dynamically generate documents from templates
JDynamiTe is a tool which allows you to dynamically create documents in any format from "template" documents. And very few lines of code (or no line at all!) are needed to do that. Some typical usage domains of JDynamiTe are: - dynamic Web pages creation, - text document generation, - source code generation... In fact, it can be useful in any case where pre-defined documents (templates) have to be dynamically populated with data. The main benefit of JDynamiTe is to allow a true... -
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CameraVoyeur
Windows-oriented utility to log frames from a connected camera devices
...The project shows how to access the camera stream, keep it running, and expose the captured output for later use or display. Because it’s in a regular GitHub repo and not a closed binary, you can inspect the code to see how device selection, frame acquisition, and UI/display are wired. This makes it useful for developers who want to add camera capture to a Windows tool or who need a barebones sample to build surveillance, monitoring, or computer vision toys on top of. Its value is really in being a simple, readable reference rather than a big camera suite. -
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ipfs-provider
Connect to IPFS via an available provider
Returns IPFS API object by trying multiple providers in a custom fallback order. This is a general-purpose replacement for ipfs-redux-bundle. When using prebuilt bundles in production use explicit versions and SRI hashes -
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brutalist-blog
Minimalistic theme that automatically supports dark & light modes
Minimalistic Jekyll theme that automatically supports dark and light modes for blogs. -
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New Standard C ini handling routines to solve some of the limitations of the windows ini apis WritePrivateProfileString and GetPrivateProfileString, now with initial support to standard XML files, the manipulation routines are provided by the library libxml2 already compiled as DLL, including sample code, look in the folder libxml2, included both win32 and win64 libraries ready to be used
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New Standard C ini handling routines to solve some of the limitations of the windows ini apis WritePrivateProfileString and GetPrivateProfileString, now with initial support to standard XML files, the manipulation routines are provided by the library libxml2 already compiled as DLL, including sample code, look in the folder libxml2, included both win32 and win64 libraries ready to be used
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CAM
Class Activation Mapping
...The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class. -
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CSS Animation 101
Learn how to bring animation to your web projects
CSS Animation 101 is a tutorial resource that teaches the fundamentals of motion on the web using only CSS. It starts with core building blocks—transitions, transforms, and keyframes—and then layers in timing functions, delays, and choreography to create more expressive sequences. The material stresses clarity and maintainability, showing how to structure styles so animations are easy to reason about and adjust. Throughout, examples demonstrate practical use cases like button feedback,... -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
...Because it's part of the author’s learning-path repositories, it likely is integrated with tutorials, sample datasets, and contextual guidance, which helps users bridge theory. -
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template-message-java-sdk
Sdk for dynamic generating message by templates
A small library for creating templates from blocks using code. The same blocks can be used for different templates. The basic principle of working with the library is to provide a flexible and simple system for writing dynamically generated text. -
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template-message-sdk
Sdk for dynamic generating message by templates
A small library for creating templates from blocks using code. The same blocks can be used for different templates. The basic principle of working with the library is to provide a flexible and simple system for writing dynamically generated text. -
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PyCls
Codebase for Image Classification Research, written in PyTorch
pycls is a focused PyTorch codebase for image classification research that emphasizes reproducibility and strong, transparent baselines. It popularized families like RegNet and supports classic architectures (ResNet, ResNeXt) with clean implementations and consistent training recipes. The repository includes highly tuned schedules, augmentations, and regularization settings that make it straightforward to match reported accuracy without guesswork. Distributed training and mixed precision are...
