Search Results for "learning" - Page 31
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Showing 1132 open source projects for "learning"
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Rasa Core
Rasa Core is now part of the Rasa repo
Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a scalable way. -
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ESRGAN
Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
ESRGAN stands for Enhanced Super-Resolution Generative Adversarial Network and is a foundational project in the field of deep learning-based image super-resolution. It builds on earlier GAN-based approaches by improving network architecture (e.g., using Residual-in-Residual Dense Blocks), adversarial loss functions, and perceptual loss components to generate higher-fidelity high-resolution images from low-resolution inputs with more realistic textures and details. -
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Omniglot
Omniglot data set for one-shot learning
...Includes stroke data (time-sequenced coordinates) per sample. The repository is intended as a benchmark dataset in few-shot / meta-learning research, not as a plug-and-play detection or classification engine. Pre-split “background” and “evaluation” alphabets for standard benchmarking. -
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tinyraycaster
486 lines of C++: old-school FPS in a weekend
...The project focuses on teaching the principles behind rendering pseudo-3D scenes, including wall projection, texture mapping, and camera movement. Its simplicity allows developers to understand the entire rendering pipeline without the complexity of modern game engines. The codebase is structured as a learning resource, guiding users through the process of building a basic game engine from scratch. It is particularly useful for those interested in retro game development or low-level graphics programming. Overall, tinyraycaster offers a concise and accessible introduction to real-time rendering techniques used in early 3D games. -
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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. ... -
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fullstack-graphql-airbnb-clone
A Fullstack GraphQL Airbnb Clone with React and React Native
fullstack-graphql-airbnb-clone is a learning project that recreates core Airbnb-style functionality using a full-stack GraphQL architecture. It includes a React web application, a React Native mobile app, a TypeScript GraphQL server, and shared code organized through Yarn Workspaces. The project is designed to teach how a real product can share logic across web, mobile, and server packages. -
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Effeckt.css
A Performant Transitions and Animations Library
...Each effect is isolated, documented, and demoed, allowing designers to copy just what they need rather than dragging in a monolithic framework. By standardizing names and behaviors, it helps teams keep motion design consistent across a product while remaining easy to theme. The library doubled as a learning resource during the rise of CSS animations, showing how to achieve polished interactions without heavy JavaScript. -
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OpenDino
Open Source Java platform for Optimization, DoE, and Learning.
OpenDino is an open source Java platform for optimization, design of experiment and learning. It provides a graphical user interface (GUI) and a platform which simplifies integration of new algorithms as "Modules". Implemented Modules Evolutionary Algorithms: - CMA-ES - (1+1)-ES - Differential Evolution Deterministic optimization algorithm: - SIMPLEX Learning: - a simple Artificial Neural Net Optimization problems: - test functions - interface for executing other programs (solvers) - parallel execution of problems - distributed execution of problems via socket connection between computers Others: - data storage - data analyser and viewer -
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Pipelines
An experimental programming language for data flow
...This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing. -
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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KAREL 3D WebGL
Children's learning programming language Karel the Robot in 3D
KAREL 3D written in JavaScript with WebGL is a children's programming language for teaching algorithms. This is later variant from Karel the Robot in 3D, created in 1986 for 8bit microcomputer PMD 85-2. Support full recursion, create new commands, complex commands with condition from dialog and direct control with keys, language translation. Objects: brick, wall, mark, fence. Check out the Wiki (here) for more examples and pictures. Include ZIP with original historical... -
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MITIE
MITIE: library and tools for information extraction
...The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector Machines[3]. MITIE offers several pre-trained models providing varying levels of support for both English, Spanish, and German trained using a variety of linguistic resources (e.g., CoNLL 2003, ACE, Wikipedia, Freebase, and Gigaword). ... -
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NN-SVG
Publication-ready NN-architecture schematics
Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand. NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages. -
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Flutter Go
Demos and documentation for over 140 Flutter UI components
flutter-go is a community-driven Flutter application that serves as an interactive catalog of Flutter widgets, layouts, and patterns. 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... -
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C# Extension Methods
C# Extension Methods | Over 1000 extension methods:
...Open a binary file, reads the contents of the file into a byte array, and then closes the file. Extract all the files in the specified zip archive to a directory on the file system. Get started by learning C# Extension Methods from cheat sheet. Get started by searching from documented extension methods. Get started by searching and trying some online example. -
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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. -
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WebPayAS2019
Sample/Actual payroll program/book in PHP and MySQL
This is a sample/working payroll program, and PDF book, for learning payroll and PHP/MySQL. It is a web app, written in PHP/MySQL. The webapp is for a small business, with 1-15 employees. It should give you practice in learning payroll, installing on the web, PHP and MySQL. The WebPay App calculates payroll, and produces reports for tax and accounting purposes. New features for 2019 include this years Tax Percentages, and ability to print W2 forms at year end. -
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Trip to iOS
A curated list of delightful iOS resources
trip-to-iOS is a curated collection of learning resources designed to guide beginners through the process of becoming proficient in iOS development. The repository organizes materials into categories such as video tutorials, books, blogs, and articles, offering a structured path from beginner to advanced topics. It includes both English and Chinese resources, covering Objective-C, Swift, Cocoa frameworks, iOS design patterns, testing, and animation. -
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Git menu
Git recipes in Chinese by Zhongyi Tong
Git menu is a practical reference repository that provides concise and actionable examples of common Git workflows, commands, and best practices. It is designed as a learning and productivity tool for developers who want to improve their version control skills without navigating complex documentation. The project organizes commands into real-world scenarios, making it easier to understand how Git is used in daily development tasks. It likely includes examples for branching, merging, rebasing, and resolving conflicts. ... -
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CFD Python
Sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes
CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equations that describe the physics of fluid flow. The module was part of a course taught by Prof. Lorena Barba between 2009 and 2013 in the Mechanical Engineering department at Boston University (Prof. Barba since moved to George Washington University). -
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). ... -
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused 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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NimTorch
PyTorch - Python + Nim
NimTorch is a deep learning library for the Nim programming language, providing bindings to PyTorch for efficient tensor computations and neural network functionalities. -
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understand-plugin-framework
Demos to help understand plugin framwork
understand-plugin-framework is an educational project that explores how plugin frameworks operate within Android applications. It demonstrates how applications can dynamically load and execute external modules without requiring installation through standard mechanisms. The repository provides examples and explanations of class loading, resource management, and component integration. It is designed to help developers understand the internal architecture of plugin-based systems. The project is... -
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FIND3
High-precision indoor positioning framework, version 3
...(previously just WiFi). Passive scanning built-in (previously required a separate server). Support for Bluetooth scanning in scanning utility (previously just WiFi). Meta-learning with 10 different machine learning classifiers (previously just three). Client uses Websockets+React which reduces bandwidth (and coding complexity). Rolling compression of MAC addresses for much smaller on-disk databases. Data storage in SQLite-database (previously it was BoltDB). Released under MIT license (more commercially compatible than AGPL). ... -
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Data Algorithm/leetcode/lintcode
Data Structure and Algorithm notes
This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress.