Search Results for "learning management system asp"
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Showing 413 open source projects for "learning management system asp"
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springcloud-learning
Build microservices with the Spring Cloud ecosystem
springcloud-learning is a hands-on tutorial repository that walks Java developers through building microservices with the Spring Cloud ecosystem. It breaks concepts into small, runnable modules so you can focus on one capability at a time—service discovery, configuration management, gateway routing, fault tolerance, messaging, and observability. The code emphasizes practical integration with common infrastructure like Nacos/Eureka for registry, Nacos/Config Server for configuration,... -
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Quantitative Trading System
A comprehensive quantitative trading system with AI-powered analysis
...The system supports real-time data streaming, allowing strategies to respond to market conditions as they evolve. QuantMuse also incorporates advanced risk management features, including portfolio monitoring, risk limits, and dynamic position sizing to control exposure. -
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Edupro School Management System
All-In-One Modern School Software
...With AI-driven learning tools and advanced automation, Edupro School Management System simplifies academic management, student tracking, and online education, making it the ultimate digital solution for modern schools. -
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Volcano
A Cloud Native Batch System (Project under CNCF)
Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of... -
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Canvas LMS
The open LMS by Instructure, Inc.
Canvas LMS is a full-featured learning management system designed for K–12, higher-ed, and professional training, with a strong emphasis on usability and openness. Instructors build courses from modular content—pages, assignments, discussions, quizzes—and organize them into learning paths with prerequisites and due dates. Rich grading tools like SpeedGrader streamline assessment with rubrics, inline annotations, and audio/video feedback, while the gradebook supports weighting, outcomes, and late/missing policies. ... -
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Arize Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative)... -
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NVIDIA FLARE
NVIDIA Federated Learning Application Runtime Environment
NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated... -
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operating system simple
Operating System Guide Dari 0
operating_system_guide is a curated, beginner-friendly resource aimed at helping aspiring developers learn how to create an operating system from scratch. Maintained by AzkaDev, the guide collects educational materials, links, and code snippets that walk learners through each major component of OS development—from bootloaders to kernel structures and system calls. While still evolving, the guide acts as a roadmap and inspiration hub for those wanting to explore low-level systems programming... -
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Skills Service
SkillTree is a micro-learning gamification platform
Skills Service is an open-source microservice developed by the NSA that provides gamified skills tracking for developers. It enables organizations to define, track, and reward skill acquisition and progress through a customizable and modular system. Developers earn points and levels by completing tasks or learning activities, with progress tracked via a web UI or REST API. It is designed to foster a culture of continuous learning, provide visual skill feedback, and promote user engagement... -
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Youtu-Agent
A simple yet powerful agent framework that delivers with models
...The framework supports automated generation of agent components, enabling the system to synthesize prompts, tool interfaces, and workflow configurations automatically. Youtu-Agent also incorporates hybrid learning strategies that combine experience accumulation with reinforcement learning to improve agent performance over time. These learning mechanisms allow agents to refine their reasoning, coding, and search capabilities as they interact with environments and tasks. -
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is... -
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CUDA Containers for Edge AI & Robotics
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
CUDA Containers for Edge AI & Robotics is an open-source project that provides a modular container build system designed for running machine learning and AI workloads on NVIDIA Jetson devices. The repository contains container configurations that package the latest AI frameworks and dependencies optimized for Jetson hardware. These containers simplify the deployment of complex machine learning environments by bundling libraries such as CUDA, TensorRT, and deep learning frameworks into reproducible container images. ... -
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UserFrosting
Modern PHP user login and management framework++
If you simply want to show that you like this project, or want to remember it for later, you should star, not fork, this repository. Forking is only for when you are ready to create your own copy of the code to work on. UserFrosting is a secure, modern user management system written in PHP and built on top of the Slim Microframework, Twig templating engine, and Eloquent ORM. -
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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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Moss
Rust Linux-compatible kernel
Moss Kernel is an open-source operating system kernel project designed to explore modern OS design and provide a foundation for experimental system research and development. Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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Paperless-ngx
A community-supported supercharged version of paperless
Paperless-ngx is a community-supported open-source document management system that transforms your physical documents into a searchable online archive so you can keep, well, less paper. -
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learnhouse
The Next-gen Open Source learning platform for everyone
learnhouse is an open-source learning platform designed to help individuals and organizations create, manage, and deliver online educational content. The platform aims to provide a modern alternative to traditional learning management systems by combining collaborative tools, structured courses, and content publishing features within a single system. Built with modern web technologies such as TypeScript, the platform supports flexible content creation workflows that allow instructors to organize lessons, resources, and learning modules. ... -
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Diffusion for World Modeling
Learning agent trained in a diffusion world model
Diffusion for World Modeling is an experimental reinforcement learning system that trains intelligent agents inside a simulated environment generated by a diffusion-based world model. The project introduces the idea of using diffusion models, commonly used for image generation, to simulate the dynamics of an environment and predict future states based on previous observations and actions. Instead of interacting directly with a real environment, the reinforcement learning agent learns within... -
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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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SLM Lab
Modular Deep Reinforcement Learning framework in PyTorch
SLM Lab is a modular and extensible deep reinforcement learning framework designed for research and practical applications. It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently. -
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Pony OS
My Little Unix: Kernels are Magic
ponyos is a lightweight, UNIX-like operating system developed as a personal hobby project by the creator of ToaruOS. It features a monolithic kernel written in C and aims for a POSIX-compliant environment with a built-from-scratch userland. ponyos includes a graphical interface, dynamic linker, shared libraries, and a package manager. It’s designed for fun, experimentation, and as a platform to learn and play with operating system internals, with surprisingly advanced features given its... -
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MindZJ
An open-source, offline note-taking app with native AI & CLI
MindZJ is a knowledge management and idea organization tool designed to help users structure, connect, and visualize information in a meaningful way. It focuses on enabling users to create and manage interconnected notes, forming a network of ideas that can evolve over time. The system provides tools for organizing thoughts, tracking relationships between concepts, and building a personal knowledge base. -
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SDGym
Benchmarking synthetic data generation methods
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the... -
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ggplot2
An implementation of the Grammar of Graphics in R
ggplot2 is a system written in R for declaratively creating graphics. It is based on The Grammar of Graphics, which focuses on following a layered approach to describe and construct visualizations or graphics in a structured manner. With ggplot2 you simply provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it will take care of the rest. ggplot2 is over 10 years old and is used by hundreds of thousands of people all over the world for...
