Search Results for "tutorials" - Page 9
Sort By:
Showing 698 open source projects for "tutorials"
View related business solutions-
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.
-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
Ct.js
Ct.js is a desktop game engine that makes learning programming fun
...Bad tools hinder your performance. Ct.js is designed to be like a brush with which you create games, not to be an enemy you will fight with. ct.js bundles come with offline docs, tutorials, and editable examples and demos. The code editor highlights errors and provides documentation right while writing your code. ct.js is based on Pixi.js, works on WebGL and provides great performance in browsers and desktop environments. Modules add new powers, and when ct.js is not enough, you can add any JS code or library. A small stylized adventure with AI-powered sea battles, violent environment, and little puzzle sections. ... -
2
Loxodon Framework
An MVVM & Databinding framework that can use C# and Lua
LoxodonFramework is a lightweight MVVM(Model-View-ViewModel) framework built specifically to target Unity3D. Databinding and localization are supported. It has a very flexible extensibility. It makes your game development faster and easier. For tutorials, examples, and support, please see the project. You can also discuss the project in the Unity Forums. The plugin is compatible with MacOSX, Windows, Linux, UWP, WebGL, IOS, and Android, and provides all the source code of the project. If you like this framework or think it is useful, please write a review on AssetStore or give me a STAR or FORK it on Github, thank you! ... -
3
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai
tsai is an open-source deep learning package built on top of Pytorch & fastai focused on state-of-the-art techniques for time series tasks like classification, regression, forecasting, and imputation. Starting with tsai 0.3.0 tsai will only install hard dependencies. Other soft dependencies (which are only required for selected tasks) will not be installed by default (this is the recommended approach. If you require any of the dependencies that is not installed, tsai will ask you to install... -
4
mlpack
mlpack: a scalable C++ machine learning library
...Aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack uses CMake as a build system and allows several flexible build configuration options. You can consult any of the CMake tutorials for further documentation, but this tutorial should be enough to get mlpack built and installed. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
5
Amazon Braket PennyLane Plugin
A plugin for allowing Xanadu PennyLane to use Amazon Braket devices
The Amazon Braket PennyLane plugin offers two Amazon Braket quantum devices to work with PennyLane. The Amazon Braket Python SDK is an open-source library that provides a framework to interact with quantum computing hardware devices and simulators through Amazon Braket. PennyLane is a machine learning library for optimization and automatic differentiation of hybrid quantum-classical computations. Once the Pennylane-Braket plugin is installed, the provided Braket devices can be accessed... -
6
SimplePie
A simple Atom/RSS parsing library for PHP
...We've worked extra hard to ensure that SimplePie is easy to use and easy to understand. That being said, it never hurts to get a little help to speed things up! We've got a collection of tips, tricks, tutorials, and screencasts to help you along the way! Looking to integrate SimplePie into your blogs, wikis, forums, or other sites? The SimplePie Community has created several plugins that allow you to use SimplePie with all sorts of other software! Check our SimplePie Plugins page for a list of what we're aware of. -
7
Codel
Fully autonomous AI Agent that can perform complicated tasks
Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor. -
8
SurveyJS
JavaScript Survey and Form Library
SurveyJS Form Library is distributed as npm packages and as scripts and style sheets that you can reference on your page. You can use it in any React, Angular, Vue, Knockout, or jQuery application. React, Angular, Knockout, and Vue3 are supported natively. To communicate with the server, the libraries use JSON objects that represent form schemas (content and layout of a form) and form results (answers). You have the option to build dynamic JSON-driven forms using our free full-featured... -
9
E2B Cookbook
Examples of using E2B
E2B Cookbook is an open-source collection of example projects, guides, and reference implementations demonstrating how to build applications using the E2B platform. The repository acts as a practical learning resource for developers who want to integrate AI agents with secure cloud execution environments that allow large language models to run code and interact with tools. The examples illustrate how developers can build AI workflows capable of performing tasks such as data analysis, code... -
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
10
Prompt in-context learning
Resources for in-context learning and prompt engineering
Prompt-In-Context-Learning is an open-source repository that serves as a comprehensive engineering guide and curated resource collection for understanding and applying in-context learning and prompt engineering with large language models. The project gathers research papers, tutorials, prompt examples, and practical guides that help developers and researchers learn how to design effective prompts for models such as GPT-3, ChatGPT, and other foundation models. In-context learning refers to the ability of language models to learn a task directly from examples provided in the prompt without updating the model’s parameters, allowing them to perform new tasks through demonstration alone. ... -
11
handy-ollama
Implement CPU from scratch and play with large model deployments
handy-ollama is an open-source educational project designed to help developers and AI enthusiasts learn how to deploy and run large language models locally using the Ollama platform. The repository serves as a structured tutorial that explains how to install, configure, and use Ollama to run modern language models on personal hardware without requiring advanced infrastructure. A key focus of the project is enabling users to run large models even without GPUs by leveraging optimized CPU-based... -
12
guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper
The guide-rpc-framework is a Java implementation of a Remote Procedure Call (RPC) framework built on Netty, Kyro (for serialization), and Zookeeper (for service discovery and coordination). It’s aimed primarily at learners and practitioners of distributed systems who want to see how you might build an RPC system from first principles rather than just use an existing library. The project provides code for client-side stubs, server-side skeletons, method dispatching, serialization, load... -
13
JeecgBoot
Low-code enterprise web development platform
JeecgBoot is a low-code platform built on Spring Boot that accelerates enterprise application development with online forms, code generation, and a modern Vue-based frontend. It can generate CRUD screens, data dictionaries, and menu structures from database schemas, producing clean starter code that developers can extend. The platform integrates common enterprise features—RBAC permissions, data scopes, dictionary management, logging, and file/OSS integration—so teams start from a... -
14
MASA Blazor
Blazor UI component library based on Material Design
Provide a standard basic component library based on Material design specifications. Provides preset components for standard scenarios such as layout, frame standard, Loading, and global exception handling. Starting from more practical scenarios, to meet the needs of more users and scenarios, and to minimize the time cost of developers. Shorten the development cycle and improve development efficiency. And provide a set of examples of Web solutions - MASA Blazor Pro has a variety of common... -
15
PennyLane
A cross-platform Python library for differentiable programming
A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy,... -
16
PyTorch Geometric Temporal
Spatiotemporal Signal Processing with Neural Machine Learning Models
The library consists of various dynamic and temporal geometric deep learning, embedding, and Spatio-temporal regression methods from a variety of published research papers. Moreover, it comes with an easy-to-use dataset loader, train-test splitter and temporal snaphot iterator for dynamic and temporal graphs. The framework naturally provides GPU support. It also comes with a number of benchmark datasets from the epidemiological forecasting, sharing economy, energy production and web traffic... -
17
NeuralProphet
A simple forecasting package
...It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in doubt. We are working on an improved documentation. We appreciate any help to improve and update the docs. Lagged regressors (measured features, e.g temperature sensor). ... -
18
Fluent UI Web
Collection of utilities andcomponents for building web applications
...Everything you need is here. Build your own apps using the same open source components we do, with accessibility, internationalization, and performance included. From tutorials to a fun collection of API references, find what you need to design and develop your own Fluent experience. From Word and Excel to PowerBI and Teams, many Microsoft apps utilize Fluent UI functionality. Fluent UI's robust, up-to-date web controls are built with the React framework. Look through the control list to see the building blocks that are available using Fluent UI React. ... -
19
The Grand Complete Data Science Guide
Data Science Guide With Videos And Materials
The Grand Complete Data Science Materials is a repository curated by a data-science educator that aggregates a wide range of learning resources — from basic programming and math foundation to advanced topics in machine learning, deep learning, natural language processing, computer vision, and deployment practices — into a structured, centralized collection aimed at learners seeking a comprehensive path to data science mastery. The repository bundles tutorials, lecture notes, project outlines, course materials, and references across topics like Python, statistics, ML algorithms, deep learning, NLP, data preprocessing, model evaluation, and real-world problem solving. Its broad scope makes it particularly suitable for beginners or self-taught programmers who want an end-to-end learning track — from fundamentals all the way to building and deploying ML or AI systems. -
20
DeepPavlov
A library for deep learning end-to-end dialog systems and chatbots
DeepPavlov makes it easy for beginners and experts to create dialogue systems. The best place to start is with user-friendly tutorials. They provide quick and convenient introduction on how to use DeepPavlov with complete, end-to-end examples. No installation needed. Guides explain the concepts and components of DeepPavlov. Follow step-by-step instructions to install, configure and extend DeepPavlov framework for your use case. DeepPavlov is an open-source framework for chatbots and virtual assistants development. ... -
21
AIF360
A comprehensive set of fairness metrics for datasets
...AI Fairness 360 package is available in both Python and R. The AI Fairness 360 interactive experience provides a gentle introduction to the concepts and capabilities. The tutorials and other notebooks offer a deeper, data scientist-oriented introduction. The complete API is also available. Being a comprehensive set of capabilities, it may be confusing to figure out which metrics and algorithms are most appropriate for a given use case. To help, we have created some guidance material that can be consulted. -
22
Fully Homomorphic Encryption
An FHE compiler for C++
...The workflow usually mirrors normal software development: write and test a cleartext implementation, run a simulator to validate logic and performance characteristics, then compile to an encrypted form to run with real FHE parameters. The project includes benchmarking harnesses, examples, and tutorials that demystify parameter selection, gate costs, and latency/throughput trade-offs. Multiple runtimes and backends are supported so teams can choose Boolean or integer schemes depending on accuracy and speed needs. -
23
MateriApps LIVE!
Live Debian GNU/Linux System for MateriApps Applications
...offers a virtual environment where one can try out computational materials science simulation freely, using a notebook PC, etc. All environment required to begin tutorials, such as MateriApps applications, OS (Debian GNU/Linux), editors, and visualization tools, is provided as an OVA file. -
24
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
...The project emphasizes accessibility and beginner-friendly explanations, making it suitable for learners who are new to data science or machine learning programming. The tutorials collectively span several hours of instructional content and demonstrate how to build predictive models using Python tools commonly used in the data science ecosystem. -
25
TensorFlow Privacy
Library for training machine learning models with privacy for data
...This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy. The library comes with tutorials and analysis tools for computing the privacy guarantees provided.
