Search Results for "learning classifier system" - Page 6
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Showing 1043 open source projects for "learning classifier system"
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MCreator
Make Minecraft Java Edition mods, Minecraft Bedrock Edition Add-Ons
MCreator is an open-source integrated development environment designed to simplify the process of creating Minecraft mods, add-ons, resource packs, and data packs. The software provides a visual programming environment where users can design mod features using graphical tools instead of writing code manually. Through wizards, block-based programming interfaces, and an integrated editor, MCreator generates the underlying Java or JSON code required for the mod automatically. This approach... -
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Flix
Making an ESP32-based quadcopter from scratch
Flix is an open-source ESP32-based quadcopter project built from general-purpose components for education, research, and experimentation. Its firmware is written in Arduino-style C++ and intentionally kept compact so learners can understand the complete flight-control stack. Communication uses MAVLink over Wi-Fi or ESP-NOW. The drone can be controlled with a USB gamepad, radio controller, or smartphone. A wireless command-line interface supports configuration and analysis without a wired... -
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Velocity server
The modern, next-generation Minecraft server proxy
Velocity is a high-performance Minecraft proxy server developed by the PaperMC project that allows multiple Minecraft servers to be linked together into a single network. Acting as an intermediary between players and backend servers, Velocity manages player connections and routes them to different game servers within a network. This architecture allows large Minecraft communities to run multiple servers for different game modes while presenting them as a unified system to players. The... -
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CodeGuide
This repository is a collection of the author, Xiao Fuge
...It also functions as a guide for both junior developers who want to grow into architects and experienced engineers who seek deeper mastery of system design. By combining educational material with hands-on examples, CodeGuide bridges the gap between theoretical learning and practical application in enterprise-level Java development. -
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QuestDB
An open source SQL database designed to process time series data
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using... -
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Swift Macros
A curated list of awesome Swift Macros
...It is especially valuable for developers moving from code-generation tools toward Swift’s built-in macro system. Swift-Macros is not a single library, but a reference hub for learning the Swift macro ecosystem and finding useful implementation patterns. -
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neural-style in TensorFlow
Neural style in TensorFlow
neural-style in TensorFlow is a TensorFlow implementation of neural style transfer. It creates a new image by combining the content of one image with the artistic style of one or more style images. The project uses TensorFlow automatic differentiation and the Adam optimizer rather than the original L-BFGS approach. Users can run it from the command line by providing a content image, style image inputs, and an output path. It supports checkpoint outputs, iteration control, style blending, and... -
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Understand Anything
Turn any codebase into an interactive knowledge graph
Understand-Anything is an AI-driven tool designed to help users deeply understand any topic by generating structured explanations, summaries, and breakdowns. It focuses on transforming complex or unfamiliar subjects into clear, step-by-step explanations that are easier to grasp. The system leverages language models to provide layered insights, allowing users to explore topics at different levels of detail. It is particularly useful for learning, research, and quick comprehension of new concepts across various domains. The project emphasizes accessibility, making advanced knowledge more approachable for a wider audience. ... -
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XGBoost
Scalable and Flexible Gradient Boosting
XGBoost is an optimized distributed gradient boosting library, designed to be scalable, flexible, portable and highly efficient. It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems.... -
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BotSharp
AI Multi-Agent Framework in .NET
...Out-of-the-box machine learning algorithms allow ordinary programmers to develop artificial intelligence applications faster and easier. It's written in C# running on .Net Core that is full cross-platform framework. C# is a enterprise-grade programming language which is widely used to code business logic in information management-related system. -
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Privilege-Escalation
This cheasheet is aimed at the CTF Players and Beginners
Privilege Escalation is a practical cybersecurity reference for learning how attackers gain higher permissions after obtaining initial access to a system. It is aimed at CTF players, penetration testers, and beginners studying post-exploitation techniques in controlled environments. The repository organizes material by common escalation vectors instead of presenting a single automated tool. Topics include sudo permissions, SUID binaries, kernel weaknesses, scheduled jobs, Linux capabilities, writable files, containers, databases, and network services. ... -
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GLM-TTS
Controllable & emotion-expressive zero-shot TTS
...The system introduces a multi-reward reinforcement learning framework that jointly optimizes for voice similarity, emotional expressiveness, pronunciation, and intelligibility, yielding output that can rival commercial options in naturalness and expressiveness. GLM-TTS also supports phoneme-level control and hybrid text + phoneme input, giving developers precise control over pronunciation critical for multilingual or polyphone-rich languages. -
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RA.Aid
Develop software autonomously
RA.Aid is an AI-powered assistant designed to enhance the efficiency of software development workflows. It integrates seamlessly with various development environments, providing intelligent code suggestions, automated documentation generation, and real-time error detection. By leveraging advanced machine learning models, RA.Aid aims to reduce development time and improve code quality. -
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Hermes Agent
The agent that grows with you
...It supports scheduled automation in natural language, allowing users to set up recurring tasks such as daily briefings or system audits that it runs unattended. -
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Koila
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code
...This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. The system acts as a thin wrapper around PyTorch tensors and operations, meaning that it integrates easily into existing PyTorch code without requiring major changes to model implementations. It is particularly useful in environments where GPU resources are limited or where models frequently encounter CUDA memory errors. -
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LibrePhotos
A self-hosted open source photo management service
LibrePhotos is an open-source self-hosted photo management platform designed to organize, browse, and analyze personal media libraries while preserving user privacy. The system allows individuals to store and manage their photos and videos locally rather than relying on commercial cloud services. It provides features similar to services like Google Photos but runs on a private server controlled by the user. The application includes AI-powered tools that automatically analyze images to detect... -
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WANIX
A virtual environment kit for the local-first web
wanix is a hobbyist Unix-like operating system written from scratch in C, aiming to implement core features of a traditional OS in an educational and modular way. The project walks through kernel development starting from bootloading, memory management, system calls, and eventually to user programs. With support for x86_64 and simple tools like a shell and basic file I/O, wanix serves as both a learning platform and a launching point for more advanced kernel features. -
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Hindsight
Hindsight: Agent Memory That Learns
Hindsight is an advanced, open-source memory system for AI agents designed to enable long-term learning, reasoning, and consistency across interactions by treating memory as a first-class component of intelligence rather than a simple retrieval layer. It addresses one of the core limitations of modern AI agents, which is their inability to retain and meaningfully use past experiences over time, by introducing a structured, biomimetic memory architecture inspired by how human memory works. ... -
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CoolPotOS
CoolPotOS for ia32 / amd64
CoolPotOS is a small, hobbyist operating system designed to be minimal and educational, offering the most basic kernel capabilities while remaining accessible to beginners. Written in C and Assembly, it focuses on bootstrapping, kernel entry, and simple console output. Though in early stages, CoolPotOS showcases the boot process, memory segmentation, and essential CPU features, serving as a great learning resource for those new to operating system internals. -
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ZealOS
Fork of the 64-bit Temple Operating System, TempleOS
ZealOS is a modernized fork of the 64-bit Temple Operating System (TempleOS), aiming to enhance and extend the original project while preserving its unique characteristics. ZealOS focuses on transparency, user control, and simplicity, striving to create an accessible and comprehensible operating system. It serves as both a functional OS and a platform for learning about system design and development. -
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PySINDy
A package for the sparse identification of nonlinear dynamical systems
...The framework focuses on identifying governing equations that describe the behavior of complex physical systems by selecting sparse combinations of candidate functions. Instead of fitting a purely predictive machine learning model, PySINDy attempts to recover interpretable differential equations that explain how a system evolves over time. This approach is particularly valuable in scientific fields such as physics, engineering, and biology where researchers seek both predictive accuracy and theoretical insight. The library provides tools for constructing libraries of candidate functions, performing sparse regression, and validating discovered models against observed data. ... -
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Apache Hamilton
Helps data scientists define testable self-documenting dataflows
Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph representing the pipeline, allowing the system to execute transformations in the correct order. ... -
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theByteBook
In-depth explanation of cloud native related technologies
theByteBook is a large open-source repository that publishes a comprehensive technical book focused on high-availability system design, modern cloud-native infrastructure, and foundational engineering concepts, serving as both a learning resource and architecture reference. The content covers deep dives into networking principles, container ecosystems, Kubernetes, service meshes, distributed systems, and SRE/DevOps practices, aiming to help practitioners build reliable, scalable, and cost-efficient systems. ... -
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IIAB
Internet-in-a-Box, build your own library of Alexandria
Internet-in-a-Box (IIAB) is a “learning hotspot” that brings the Internet's crown jewels (Wikipedia in any language, thousands of Khan Academy videos, zoomable OpenStreetMap, electronic books, WordPress journaling, “Toys from Trash” electronics projects, etc.) to those without Internet. You can build your own tiny, affordable server (an offline digital library) for your school, your medical clinic, your prison, your region, and/or your very own family, accessible with any nearby smartphone,... -
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PyTorch Ignite
Library to help with training and evaluating neural networks
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Less code than pure PyTorch while ensuring maximum control and simplicity. Library approach and no program's control inversion. Use ignite where and when you need. Extensible API for metrics, experiment managers, and other components. The cool thing with handlers is that they offer unparalleled flexibility (compared to, for example, callbacks). Handlers can be any function: e.g....
