Search Results for "e learning system"
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Showing 65 open source projects for "e learning system"
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,... -
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AutoKeras
AutoML library for deep learning
AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. -
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mlpack
mlpack: a scalable C++ machine learning library
mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. -
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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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HumanSystemOptimization
Healthy Learning to 150 - An Incomplete Guide to Human System Tuning
HumanSystemOptimization is a long-form personal guide about health, learning, productivity, and daily habits rather than a software application. It summarizes ideas the author gathered from neuroscience podcasts, research discussions, and personal experimentation. Major sections discuss sleep, circadian rhythms, diet, exercise, focus, mood, learning, and other aspects of everyday performance. The repository mixes background explanations with practical routines and links to outside material... -
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Calibre-Web Automated
Calibre-Web but Automated and with tons of New Features
...The goal is to reduce the common “two-service” setup where users run Calibre-Web for browsing and Calibre separately for conversions, metadata fixes, and automation, by packaging those workflows together in a single system. CWA keeps the familiar strengths of Calibre-Web, like a responsive interface, OPDS feeds for e-readers, and strong user/permission management, while layering in extensive automation features that handle ingest, conversion, metadata enforcement, and library organization with less manual effort. It also expands authentication options (including modern OAuth/OIDC flows) and adds quality-of-life improvements such as enhanced search/filtering, multi-language UI support, and better device-centric workflows for sending to e-readers. -
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GoBooks
List of Golang books
GoBooks is a curated collection of recommended books and learning resources for the Go programming language. It serves developers ranging from complete beginners to experienced engineers working with concurrency, performance, web development, and system design. The repository organizes titles into popular, starter, advanced, and web development categories. Each entry includes useful context such as publication date, author, format, and a short description. -
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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.... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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My Python Eggs
Python Examples
...Rather than being a single cohesive application, it functions as a repository of utilities that demonstrate how Python can be used to solve everyday problems and automate repetitive tasks. The scripts cover a wide range of topics, including file management, networking, system monitoring, web scraping, and even simple games, making it a versatile learning resource. Many of the programs are designed to reduce manual workload by automating tasks such as renaming files, scanning directories, or checking system information. The repository also includes examples of more advanced concepts like multithreading, API interaction, and GUI development, providing a gradual learning curve for beginners. -
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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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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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RecBole
A unified, comprehensive and efficient recommendation library
A unified, comprehensive and efficient recommendation library. We design general and extensible data structures to unify the formatting and usage of various recommendation datasets. We implement more than 100 commonly used recommendation algorithms and provide formatted copies of 28 recommendation datasets. We support a series of widely adopted evaluation protocols or settings for testing and comparing recommendation algorithms. RecBole is developed based on Python and PyTorch for... -
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HackTheBox CTF Writeups
This cheasheet is aimed at the CTF Players and Beginners
...It serves as a searchable learning index rather than hosting an automated Hack The Box client or exploitation framework. -
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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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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if... -
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior... -
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age
A simple, modern and secure encryption tool (and Go library)
...Because of its design philosophy, it avoids the bloat of many older encryption utilities while maintaining strong cryptographic hygiene. It’s especially useful for developers or system administrators who want to adopt encryption without learning a multitude of options. -
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Professional Programming
A collection of learning resources for curious software engineers
Professional Programming is a long-running, curated collection of learning resources aimed at helping software engineers grow into well-rounded professionals. It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice. ... -
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Gen.jl
A general-purpose probabilistic programming system
An open-source stack for generative modeling and probabilistic inference. Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language... -
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Guide to Technical Interviews
Guided collection and roadmap for preparing technical interviews
This repository is a guided collection and roadmap for preparing technical interviews, covering the gamut from algorithmic challenges and data structures to system design and behavioral preparation. It consolidates resources like interview question lists, practice platforms, mock interview sites, and recommended books or blogs. For individuals targeting big-tech or rigorous interview processes, this acts as a structured study guide rather than a random list of links. The README breaks down... -
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Botcraft
Botcraft is a cross-platform C++ library to create bots
Botcraft is an advanced Minecraft bot framework that provides a full client implementation in Node.js, enabling bots to join Minecraft servers, interact with the world, and perform tasks like mining, fighting, and building. It leverages the mineflayer ecosystem to provide a highly programmable interface for automation and AI experimentation in Minecraft. Botcraft is particularly useful for AI researchers, game modders, and automation enthusiasts who want to explore pathfinding, environment... -
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fe-advanced-interview
A Guide to Advanced Front-End Interviews
...The repository is structured as a learning resource for experienced developers preparing for senior engineering interviews at major technology companies. It combines theoretical explanations with practical examples, helping users strengthen both conceptual understanding and applied engineering skills. -
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RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations... -
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aosabook
The Architecture of Open Source Applications
aosabook is the source repository for The Architecture of Open Source Applications, a book series about how real open-source systems are designed and built. The project collects the written material, source files, and build assets used to publish the books. Its purpose is educational, showing developers how experienced engineers solve complex design problems in actual software projects. The material is aimed at junior developers who want to learn architectural thinking, as well as more...
