Search Results for "learn" - Page 4
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185 projects for "learn" with 2 filters applied:
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Laravel OPcache
Laravel Package for OPcache
This package contains some useful Artisan commands to work with PHP OPcache. If you want to learn more about OPcache and what it can do for your Laravel application, read the article on Medium. -
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JavaScript Array Explorer
A resource to figure out what JavaScript array method would be best
...The tool provides visual examples, explanations of method semantics, and code snippets you can copy into your own project. Because many JavaScript learners struggle with which array method to choose or misuse them, this resource offers an approachable way to learn by doing and exploring rather than memorizing. The front-end is friendly and responsive, with filtering UI that lets you narrow based on the kind of task you’re performing. -
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NG6
An AngularJS Starter repo for AngularJS + ES6 + Webpack
...Styles are handled via SASS (node-sass), with each component encouraged to bundle its own styles, templates, and tests for strong locality. Overall, NG6-starter is designed as a “de facto” reference for developers who want to learn and adopt a modern workflow. -
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ved
Fast easy to learn editor since 1984
ved - visual editor (screen-oriented) -
$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.
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Flutter Dojo
A beautiful design and useful project
Flutter Dojo is an educational and practical Flutter UI project that provides a large collection of demo screens, layouts, and component examples designed to help developers learn and experiment with Flutter’s capabilities. Rather than being a traditional component library, it acts as a showcase and playground where developers can explore different UI patterns, animations, and design implementations within a single project. The repository includes numerous real-world interface examples, allowing developers to study how complex layouts and interactions are structured in Flutter applications. ... -
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PyCBC
Learn how to use PyCBC to analyze gravitational-wave data
...We use PyCBC in the detection of gravitational waves from binary mergers such as GW150914. These examples explore how to analyze gravitational wave data, how we find potential signals and learn about them. Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like Google Colab. However, you can do them either on your local machine or by using services such as mybinder or sciserver which allow a full juypterhub experience with the ability to view and edit text files. ... -
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Freebasic Beginners Guide
An updated Beginners guide to FreeBASIC
The purpose of this project is to create and update a beginners guide to FreeBASIC. Over the years I have noticed that there was only three real ways to learn FreeBASIC. The FreeBASIC Documentation, the FreeBASIC Community Forum, and A old beginners guide written by Richard D. Clark and Ebben Feagan. Each of these sources are great, but they all assume some experience with a programming language. This Project is taking Richard D. Clark's and Ebben Feagan's "A Beginner's Guide to FreeBasic" and is editing, updating, reorganizing, and simplifying this guide. ... -
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Flutter Example Apps
Basic Flutter apps, for flutter devs
FlutterExampleApps is a curated repository of Flutter application source code and demos intended to help developers learn Flutter development through real-world examples and practical implementations of common app patterns. Instead of being a single app, it consists of dozens of example projects including clones of popular apps, utility apps, interactive UIs, and Flutter integrations with plugins and device features, covering topics from basic widgets to Firebase integration and responsive layouts. ... -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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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.
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. ... -
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gditools
A Python program/library aimed at GD-ROM image files.
...It can be used to list files, extract data, generate sorttxt file, extract bootstrap (IP.BIN) file and more. This project can be used in standalone mode, in interactive mode or as a library in another Python program (check the 'addons' folder to learn how). For your convenience, you can use the gditools.py GUI program supplied in the Files section (optional). To use this project you must install the Python 2.7.x branch release binaries. See the README.TXT file for more informations. -
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IntelliJ Plugins
Open-source plugins included in the distribution of IntelliJ IDEA
...By hosting plugin source code publicly, JetBrains promotes transparency, community contribution, and shared ownership of tooling that improves developer productivity and integrates niche technologies into world-class IDEs. Developers can explore design patterns, sample implementations, and extension points used by real plugins, learn how to build their own, or contribute enhancements and bug fixes. -
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HTML5 Demos and Examples
Collection of hacks and demos showing capability of HTML5 apps
...The repository is an archive of interactive examples—ranging from canvas tricks to video, audio, drag-and-drop, WebSockets, and more—that illustrate how HTML, CSS, and JavaScript can combine to build rich, browser-centric experiences without plugins. Each demo is a self-contained piece of code you can open, explore, and learn from, and the collection was curated to help developers grasp emerging standards at a time when HTML5 was gaining traction and not yet ubiquitous. Though no longer actively maintained, the archive still contains hundreds of creative examples that can teach fundamentals and spur experimentation with web features. Developers historically used it as a reference when testing browser support for features or teaching newcomers how specific APIs behave in real code. -
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benchm-ml
A benchmark of commonly used open source implementations
...The benchmarks cover algorithms like logistic regression, random forest, gradient boosting, and deep neural networks, and they compare across toolkits such as scikit-learn, R packages, xgboost, H2O, Spark MLlib, etc. The repository is structured in logical folders, each corresponding to algorithm categories. -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. ... -
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Web design in 4 minutes
Learn the basics of web design in 4 minutes
This repository contains a single, short tutorial that incrementally transforms a bare HTML document into a clean, readable webpage, teaching design by doing. Each step introduces one design decision—typography, spacing, color, alignment, hierarchy—and shows exactly how it changes the page. The lesson is intentionally minimal and time-boxed so beginners can grasp core principles without being overwhelmed by tooling or frameworks. It focuses on taste-building: why certain choices make text... -
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Keras resources
Directory of tutorials and open-source code repositories
Keras resources is a curated directory of tutorials, projects, and educational materials designed to help developers learn and work effectively with the Keras deep learning library. It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models, providing both theoretical and practical insights. ... -
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Talon for Twitter
The Holo version of my popular Android Talon for Twitter app
...It is 100% open source, the only thing that you will have to do plug in is your own API keys. Feel free to use this as a resource for those kinds of thing, that's one of the reasons I wanted to open source it in the first place. Lots to learn from a big project like this, and I think that is pretty important with the ever changing world of Android. -
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Scripted Roulette
Simulation tool for the casino game Roulette
Scripted Roulette is an original application which helps you to develop and analyze new betting strategies for the casino game Roulette. Learn and understand more about the chances you really have to win. -
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Sahi - Web Test Automation Tool
Sahi is a web automation testing tool focused on testers
...It is a tester friendly tool with recorders and object spy and simple scripting. Sahi Pro, the commercial version, is an Enterprise Grade Test Automation Tool that is simple to use and easy to learn. For over a decade now Sahi Pro has helped over 400 Enterprise clients solve everyday problems faced by their QA teams. Sahi Pro is a unique Test Automation tool that is tester-centric while being business-driven in its design and functionality. The result? A Test Automation tool that understands your business and reduces your time to market by over 50%. ... -
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char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)
char-rnn is a classic codebase for training multi-layer recurrent neural networks on raw text to build character-level language models that learn to predict the next character in a sequence. It supports common recurrent architectures including vanilla RNNs as well as LSTM and GRU variants, letting users compare behavior and output quality across model types. It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the trained network to generate new text one character at a time in the style of the dataset. ... -
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commentary.vim
Commentary.vim: comment stuff out
...It integrates naturally with . repeat and respects indentation and block selections to avoid mangling code structure. Because it piggybacks on Vim’s native model, it feels like a built-in that you learn once and use everywhere. -
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spf13-vim
The ultimate vim distribution
...The distribution standardizes plugin management and wiring so users don’t have to chase configuration snippets from blog posts. It emphasizes discoverability with well-documented mappings and a clear file layout, which helps newcomers learn the system and experienced users tweak it safely. Even though the broader Vim ecosystem has evolved, spf13-vim remains a recognizable snapshot of a cohesive, full-featured setup that many developers leaned on for years. Its value is as much educational as it is practical: it shows how to shape Vim into a modern editor while keeping the core lightweight and fast.
