Search Results for "learning classifier system" - Page 24
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Showing 1111 open source projects for "learning classifier system"
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Newsvendor Model Simulation Spreadsheet
Excel Spreadsheet Model for Single Period Inventory Problems
The spreadsheet (Excel) of a single-period inventory model with stochastic demand can be used as a simulation tool for engineering education or Decision Support System. Based on spreadsheet techniques and examples described in the following sources: Albright S. C., & Winston W. L. (2005). Spreadsheet modeling and applications: essentials of practical management science, South-Western Pub. Albright, S. C. W. C., Winston, W., & Zappe, C. (2010). Data analysis and decision making. Cengage Learning. ... -
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Weld
High-performance runtime for data analytics applications
...By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines. -
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lwjglbook
Source code of the chapters of the book 3D Game Development with LWJGL
lwjglbook-leg is the companion code repository for the “3D Game Development with LWJGL 3” book, offering a practical learning path for building a 3D game engine in Java using the Lightweight Java Game Library (LWJGL). It covers the implementation of a modern OpenGL-based engine from scratch, guiding readers through key concepts such as rendering, lighting, animation, input handling, and scene management. This project serves as an excellent educational resource for Java developers interested... -
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Image Quality Assessment
Convolutional Neural Networks to predict aesthetic quality of images
...Instead of relying on simple image statistics, the system learns patterns that correlate with human judgments about image aesthetics and technical quality. The repository includes code for training models, performing inference, and evaluating predicted scores against labeled datasets. It also provides utilities for image preprocessing and data management that help prepare datasets for training deep learning models. -
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12306 Ticket Buying Assistant
12306 Smart ticket swiping, ticket booking
...The system is particularly useful during peak travel periods when tickets sell out quickly, as it can continuously monitor availability and attempt purchases automatically. It includes support for account management, login handling, and CAPTCHA-solving integrations to mimic real user behavior. The project is often used as both a practical utility and a learning resource for understanding HTTP automation and web interaction. -
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X11workbench
X11 developer's 'workbench' and lightweight toolkit API
(preliminary) X11 developer's 'workbench' application using a lightweight statically linked custom toolkit that is intended to be used by X11 applications built with the X11 Workbench. The primary goal of the toolkit is ease of use (short learning curve), lightweight self-contained executables, UI speed, cross platform compatibility, and minimal dependencies. The primary goal of the workbench is to provide an editor on X11 platforms that integrates development, provides rapid development... -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. -
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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Docker Machine
Machine management for a container-centric world
Docker Machine is a tool that lets you install Docker Engine on virtual hosts, and manage the hosts with docker-machine commands. You can use Machine to create Docker hosts on your local Mac or Windows box, on your company network, in your data center, or on cloud providers like Azure, AWS, or DigitalOcean. Using docker-machine commands, you can start, inspect, stop, and restart a managed host, upgrade the Docker client and daemon, and configure a Docker client to talk to your host. Point... -
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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GAAS
Autonomous aviation intelligence software for drones and VTOL
GAAS (Generalized Autonomy Aviation System) is an open source software platform for autonomous drones and VTOLs. GAAS was built to provide a common infrastructure for computer-vision based drone intelligence. In the long term, GAAS aims to accelerate the coming of autonomous VTOLs. Being a BSD-licensed product, GAAS makes it easy for enterprises, researches, and drone enthusiasts to modify the code to suit specific use cases. Our long-term vision is to implement GAAS in autonomous passenger... -
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Manhali is a free, open source Learning Management System (LMS). It is installable and multi-language. Licensed under the GNU-GPL 3 and written in PHP and MySQL. Manhali can track and evaluate learners' behavior by clustering all learners in profiles (A, B, C, D and E) according to their behavior on the platform to allow educators to personalize courses for each profile.
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. ... -
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PinPog
Ping-Pong-like game in Assembly that works without OS
pinpog is a simple, open-source ping pong game implemented in C using SDL2. Created by Tsoding, it serves as both a nostalgic recreation of the classic arcade game and a fun educational project demonstrating game development fundamentals such as collision detection, input handling, and frame-based rendering. It’s small in scope but clear in design, making it ideal for those learning C or exploring real-time interactive programming through games. -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. -
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nko
Nko is a student project to introduce Serious Games' concept.
The students should work together and proposed an new application of Serious Games with Manding writing system. -
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lgo
Interactive Go programming with Jupyter
lgo is an open-source programming environment that enables interactive Go programming within Jupyter Notebook environments. The project provides a Jupyter kernel for the Go programming language, allowing developers to write and execute Go code interactively in notebook cells similar to how Python is used in data science workflows. This environment combines the strong performance and concurrency features of the Go language with the exploratory and iterative style of notebook-based... -
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Didact
A DIY guide to build your own React
Didact is an educational JavaScript project that teaches developers how to build a small React-like library from scratch. It accompanies a series of explanatory posts that break down React concepts step by step. The project covers rendering DOM elements, element creation, JSX, virtual DOM behavior, reconciliation, components, state, Fiber-style incremental reconciliation, and hooks. Its goal is not to replace React, but to make React’s internal ideas easier to understand through a compact... -
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vid2vid
Pytorch implementation of our method for high-resolution
...The system can synthesize complex outputs such as realistic talking faces, human motion animations, or dynamic street scenes by learning temporal relationships between frames. It uses generative adversarial networks combined with temporal modeling strategies to maintain coherence and reduce flickering artifacts. The framework is capable of producing high-resolution outputs and is widely used in research related to video synthesis, animation, and simulation. -
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xLearn
High performance, easy-to-use, and scalable machine learning (ML)
xLearn is a high-performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM), all of which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data. Many real-world datasets deal with high dimensional sparse feature vectors like a recommendation system where the number of categories and users is on the order of millions. ... -
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CakeChat
CakeChat: Emotional Generative Dialog System
CakeChat is a backend for chatbots that are able to express emotions via conversations. The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always... -
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MX Linux Bare Server Edition Respin
MX Linux Bare Server Edition
Based on the MX18 Continuum (Minimal) Release by manyroads, this is an even more minimal version of MX-Linux intended for use as a base for configuring a server for use in a home environment, or in a lab for experimental use or as a learning platform. Other types of servers (Apache Web/PHP, MySQL, media, etc.) may be created by installing the appropriate packages from the MX Stable Repository using the MX Package Installer (MXPI.) Intrusion detection and system monitoring apps are also available. DISCLAIMER: using this or any other desktop-oriented Linux distribution as a server for mission-critical applications is not recommended. ... -
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Gameboy.Live
A basic gameboy emulator with terminal "Cloud Gaming" support
A basic gameboy emulator with terminal "Cloud Gaming" support. Gameboy.Live is a Gameboy emulator written in go for learning purposes. You can simply play Gameboy games on your desktop. Or, "Cloud Game" in your terminal with a single command (The demo server is down now, you have to deploy on your own server) You can directly download the executable file from the Release page, or build it from the source. Go Version 1.11 or higher is required. Run go version to check what the version... -
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spark-ml-source-analysis
Spark ml algorithm principle analysis and specific source code
spark-ml-source-analysis is a technical repository that analyzes the internal implementation of machine learning algorithms within Apache Spark’s MLlib library. The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s machine learning package. ... -
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Scalable Distributed Deep-RL
A TensorFlow implementation of Scalable Distributed Deep-RL
Scalable Agent is the open implementation of IMPALA (Importance Weighted Actor-Learner Architectures), a highly scalable distributed reinforcement learning framework developed by Google DeepMind. IMPALA introduced a new paradigm for efficiently training agents across large-scale environments by decoupling acting and learning processes. In this architecture, multiple actor processes interact with their environments in parallel to collect trajectories, which are then asynchronously sent to a centralized learner for policy updates. ... -
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Prometheus Spec
Censorship-resistant trustless state channels for machine learning
Censorship resistant decentralised computing is a new topic in distributed systems theory. With the recent rise in popularity of Bitcoin as a censorship-resistant financial and transactional system a new technological field of blockchain and its applications appeared. This work addresses the problem of computational integrity proofs (correctness of the actual computations) made by some non-trusted (anonymous) third party without repeating the whole volume of the actual computing. The issue...
