Search Results for "learning" - Page 72
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Showing 4819 open source projects for "learning"
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Mr. Ranedeer
GPT-4 AI Tutor Prompt for customizable personalized learning
Unlock the potential of GPT-4 with Mr. Ranedeer AI Tutor, a customizable prompt that delivers personalized learning experiences for users with diverse needs and interests. -
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Audio AI Timeline
A timeline of the latest AI models for audio generation
...Rather than functioning as a model training framework, it serves as an informational resource that maps key papers, systems, models, datasets, and milestones across areas such as speech synthesis, music generation, audio understanding, source separation, and general audio machine learning. The project helps users understand how major techniques and ideas evolved over time, making it especially useful for researchers, students, and practitioners who want a broad overview of the field without digging through scattered references. Its value comes from presenting progress in a chronological and thematic way, which makes trends, breakthroughs, and shifts in research focus easier to see. -
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Evolutionary Algorithm
Evolutionary Algorithm using Python
...Users can explore basic genetic algorithm setups, match phrase examples, pathfinding challenges, and microbial GA variants, as well as evolution strategy approaches like NES. The project also links classical evolutionary approaches with neural networks, illustrating how evolution can be used for model training in reinforcement learning and supervised contexts. -
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z
Tracks your most used directories, based on 'frecency'
Tracks your most used directories, based on 'frecency'. After a short learning phase, z will take you to the most 'frecent directory that matches ALL of the regexes given on the command line, in order. For example, z foo bar would match /foo/bar but not /bar/foo. The rank of directories maintained by z undergoes aging based on a simple formula. The rank of each entry is incremented every time it is accessed. -
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TensorFlow Addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
TensorFlow Addons is a repository of contributions that conform to well-established API patterns but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast-moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the... -
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TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing models
TensorFlow.NET (TF.NET) provides a .NET Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers with a powerful Machine Learning tool set without reinventing the wheel. ... -
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towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. -
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XAgent
An Autonomous LLM Agent for Complex Task Solving
XAgent is an AI-driven autonomous agent framework capable of handling multi-step tasks across different domains. It enables AI agents to perform decision-making, task planning, and self-learning based on user-defined objectives, making it ideal for automation and research applications. -
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Algorithm Visualizer
Interactive Online Platform that Visualizes Algorithms from Code
...The README explains each example, lists required environment variables or credentials (e.g., Twilio/Gmail where applicable), and gives cron examples so readers can run the scripts in a real environment. The project is intentionally informal and educational: it’s meant for experimentation, learning language-interop, and having fun rather than production-grade automation. Many implementations exist across languages (shell, Ruby, Python, Node, PowerShell, Go, Java, and more) and contributors are encouraged to add further -
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entity-metadata
Lists of people, churches, and other entities
Here are lists of entities, such as people, businesses, and churches. These are large files related to this repository https://github.com/az0/entity-metadata -
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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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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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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. -
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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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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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...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. -
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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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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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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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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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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. ...