Search Results for "learning" - Page 71
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Showing 4736 open source projects for "learning"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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EvaDB
Database system for building simpler and faster AI-powered application
...This tedious process often leads to a complex AI app that glues together these libraries to accomplish the given task. This programming complexity prevents people who are experts in other domains from benefiting from these models. Running these deep learning models on large document or video datasets is costly and time-consuming. For example, the state-of-the-art object detection model takes multiple GPU years to process just a week’s videos from a single traffic monitoring camera. Besides the money spent on hardware, these models also increase the time that you spend waiting for the model inference to finish. -
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FEDML Open Source
The unified and scalable ML library for large-scale training
A Unified and Scalable Machine Learning Library for Running Training and Deployment Anywhere at Any Scale. TensorOpera AI is the next-gen cloud service for LLMs & Generative AI. It helps developers to launch complex model training, deployment, and federated learning anywhere on decentralized GPUs, multi-clouds, edge servers, and smartphones, easily, economically, and securely. -
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Adala
Adala: Autonomous DAta (Labeling) Agent framework
Adala is a data-centric AI framework focused on dataset curation, annotation, and validation. It helps AI teams manage high-quality training datasets by providing tools for data auditing, error detection, and quality assessment. -
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Alink
Alink is the Machine Learning algorithm platform based on Flink
Alink is Alibaba’s scalable machine learning algorithm platform built on Apache Flink, designed for batch and stream data processing. It provides a wide variety of ready-to-use ML algorithms for tasks like classification, regression, clustering, recommendation, and more. Written in Java and Scala, Alink is suitable for enterprise-grade big data applications where performance and scalability are crucial. -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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CSS Layout
A collection of popular layouts and patterns made with CSS
...Each example focuses on the essential structure needed to reproduce a practical interface pattern. Developers can combine several patterns to assemble complete pages without importing an entire CSS framework. The project is intended as both a learning resource and a time-saving starting point for front-end work. -
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Moodle, DSpace 7, Koha, Calibre Live ISO
Moodle 4.2 + DSpace 7.6 + Koha 23.11 Live ISO based on Ubuntu 22.04.3
Moodle, DSpace, Koha, Calibre-Web is a Live Bootable and Installer ISO based on Ubuntu 22.04.3 Moodle Version: 4.2.1 DSpace Version: 7.6 Koha Version: 23.11.01 Calibre Version: 6.26 This ISO boots only in Legacy BIOS mode and not in Secure Boot Mode After booting from the Live DVD/USB, use the following login credentials: Login: library (Displayed as 'Open Learning Platform') Password: admin123 This Live ISO contains additional Desktop Environments (aka D.E) providing different User Interfaces. If you wish to choose a Lightweight UI, choose 'Lubuntu' from the drop down list. This will be shown at the right corner of the login name. For 'admin' access, type 'sudo bash' in the terminal and use 'admin123' as password To install Google Chrome or Anydesk $sudo apt install google-chrome-stable anydesk For Commercial Support, write to baskar@linuxpert.in, WhatsApp: +919884165649 -
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Faum
Fast Autonomous Unsupervised Multidimiensional Classification
This is the proof-of-concept implementation of the FAUM Clustering method. This implementation was used to perform the published results and is now released in the hope that it will be useful. -
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...It allows to load two, three and four-dimensional images of both techniques and in the case of 3D images it allows the simultaneous visualization of the three orthogonal planes which facilitates the localization of the regions of interest. It has been developed in Python with a user-friendly interface for healthcare personnel. Thanks to Artificial Intelligence and deep learning methods, MELAGE has tools to estimate volumes of different regions of interest in both images. Moreover, it allows to perform linear, area and volumetric measurements in a very intuitive and easy way, being able to instantly see the segmented region in a new tab. Please see https://melage.uca.es/
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SageMaker Inference Toolkit
Serve machine learning models within a Docker container
Serve machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. Once you have a trained model, you can include it in a Docker container that runs your inference code. -
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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LLMDataHub
Quick guide (especially) for trending instruction finetuning dataset
...By organizing these resources into a curated hub, the project helps researchers and developers identify the most relevant training corpora for building conversational AI systems. The repository also highlights datasets suitable for reinforcement learning from human feedback and other alignment strategies used in modern language model training. -
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spaGO
Self-contained Machine Learning and Natural Language Processing lib
A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. -
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Complete Machine Learning Package
A comprehensive machine learning repository containing 30+ notebooks
Complete Machine Learning Package repository is a comprehensive educational collection of machine learning notebooks designed to teach core data science and AI concepts through practical coding examples. The project includes more than thirty notebooks that cover a wide range of topics including data analysis, statistical modeling, neural networks, and deep learning. -
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Prem AI
Prem provides a unified environment to develop AI applications
An intuitive desktop application designed to effortlessly deploy and self-host Open-Source AI models without exposing sensitive data to third-party. Prem provides a unified environment to develop AI applications and deploy AI models on your infrastructure. Abstracting away all technical complexities for AI deployment and ushering in a new era of privacy-centric AI applications - users can finally retain control and ownership of their models. The AI services expose an HTTP API interface,... -
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DevStore
A microservices e-commerce reference application
A microservices e-commerce reference application built with ASP.NET 6. The EShopOnContainers is an awesome project, however the code has some "bad smells". We found it difficult to start learning/using EShopOnContainers compared to DevStore. We like to think of the DevStore as a simplified (but no less complex) version and written with more care in code and small details. We also focused only on the Web architecture with ASP.NET. -
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Smallchat
A minimal programming example for a chat server
...It uses the simplest assumptions (for example: clients connect via telnet or netcat, line-based I/O) and keeps the message logic straightforward: each received line from one client is broadcast to all others (fan-out). The focus is not on robustness, feature richness or production readiness, but on learning how to write a non-trivial C program, handling sockets, multiplexed input (select/poll), client state, and basic formatting. -
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DevOps-Bootcamp
This repository consists of the code samples, assignments, and notes
DevOps Bootcamp is a learning repository for the WeMakeDevs DevOps bootcamp by Kunal Kushwaha. It contains code samples, assignments, and notes that support the course material. The repository organizes topics around practical DevOps foundations such as Linux, terminal commands, networking, YAML, Docker, GitHub Actions, and Kubernetes. It is designed as a companion resource for learners following the lectures and course website. -
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Gorgonia
Gorgonia is a library that helps facilitate machine learning in Go
Write and evaluate mathematical equations involving multidimensional arrays easily. Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow. The primary goal for Gorgonia is to be a highly performant machine learning/graph computation-based library that can scale across multiple machines. ... -
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Jekyll Pure Liquid Table of Contents
A GitHub Pages compatible Table of Contents generator
GitHub Pages can't run custom Jekyll plug-ins so when generating Tables of Contents (TOCs), you're stuck with either a JavaScript solution or using kramdown's {:toc} option. However, by using {:toc}, you are forced to have that code next to your actual markdown and you can't place it in a layout. This means every. single. post. will need to have the snippet. If you choose the JavaScript approach, that's perfectly fine but what if JS is disabled on someone's browser or your page is just... -
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Snippetory
Java templating solution with passive templates.
Snippetory is a platform for java developers dealing with any text generation. The abstraction layer helps to keep the issues of the 'view' in the view, while all logic is implemented in java. Editing, debugging and testing, all with the tools one is already used to. The separation of template keeps the template simple, the logic compact, and easy to navigate, and offers completely new re-usage scenarios. Sourceforge code hosting is abandoned. Primary site is now... -
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Onix OS
Onix
...It covers kernel essentials such as interrupts, memory management, and multitasking, and includes a tiny Unix-like shell for user interaction. onix is tailored for x86_64 systems and runs in QEMU, making it ideal for learning OS internals while benefiting from Rust’s type safety and concurrency guarantees. It’s a great project for students or Rustaceans interested in systems programming. -
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WebArena
Code repo for "WebArena to build Autonomous Agents
WebArena is a realistic web environment designed for building and testing autonomous agents, providing a platform for developing web-based AI agents. -
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Hacker Roadmap
A collection of hacking tools, resources and references
Hacker Roadmap is an archived learning repository that organizes tools, references, and concepts for practicing ethical hacking and penetration testing. It introduces basic security vocabulary, the difference between hacking and ethical hacking, and the general steps of a penetration test. The guide groups resources by categories such as information gathering, password attacks, wireless testing, exploitation tools, sniffing and spoofing, web hacking, post-exploitation, and frameworks. ... -
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The Algorithms - C #
Collection of various algorithms in mathematics, machine learning
...Within the C repository, contributors implement algorithms from many areas of computer science including sorting, searching, graph processing, mathematics, machine learning, and numerical methods. Each algorithm implementation is written to be readable and well documented so that students and developers can understand how the algorithm works internally. The repository is designed primarily as an educational resource that helps programmers study algorithm design and computational thinking. Contributors from around the world continually add new implementations and improvements, making the repository a collaborative learning project. -
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MMAction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
OpenMMLab's next generation video understanding toolbox and benchmark. MMAction2 is an open-source toolbox for video understanding based on PyTorch. It is a part of the OpenMMLab project. Modular design: We decompose a video understanding framework into different components. One can easily construct a customized video understanding framework by combining different modules. Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding... -
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DecisionTree.jl
Julia implementation of Decision Tree (CART) Random Forest algorithm
Julia implementation of Decision Tree (CART) and Random Forest algorithms.