Search Results for "learn" - Page 26
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Showing 1944 open source projects for "learn"
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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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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Spring Boot Examples
Spring Boot tutorials, technology stack example code
...The author notes that all examples have been updated to Spring Boot 3.0, with earlier 1.x and 2.x code paths kept accessible for reference. Each sample focuses on a single topic—such as Web MVC, WebFlux, Thymeleaf, JPA/MyBatis CRUD, file upload, Redis/MongoDB, RabbitMQ, and containerization—so you can learn one concept at a time and compose them later. There are also demos for testing, packaging (JAR/WAR), and Docker Compose scenarios that combine Spring Boot with Nginx and MySQL. If you want additional topics covered, the maintainer invites requests via issues so the set can keep growing with the community’s needs. -
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fre:ac - free audio converter
Audio converter and CD ripper for various formats
fre:ac is a free audio converter and CD ripper for various formats and encoders. It features MP3, MP4/M4A, WMA, Ogg Vorbis, FLAC, AAC, and Bonk format support, integrates freedb/CDDB, CDText and ID3v2 tagging and is available in several languages. -
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UnionML
Build and deploy machine learning microservices
...Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. ... -
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All HTML Form Widgets With Top Examples
Learn About All HTML Form Widgets And Controls With Top Examples
Notes: Please click on "Date Modified" - "Ascending" to view all related files together, in your File Manager / Explorer / Finder Refer Video Below and also Wiki Page for More Instructions Categories : Website Forms Design Development Tutorial Widgets Controls Examples Creation -
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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Git Tips
Compact knowledge base of Git command tips and workflows
...The collection is useful for daily development, code reviews, and release management where precise Git operations matter. Because entries are concise and independent, you can dip in at any point and learn something useful in a minute or two. It serves both as a cheat sheet for experienced developers and a learning aid for those new to version control. -
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System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what... -
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Reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI
Reinforcement-learning is a widely used educational repository that provides implementations, exercises, and solutions for a broad range of reinforcement learning algorithms, designed to complement foundational texts and courses in the field. The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so... -
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HelloSystem-FreeBSD
MacOS Themed Linux - FreeBSD 13
It you wants to use MacOS themed or macOS similar linux kernel.e., Berkeley Software Distribution (BSD), then you can use HelloSystem OS, you will get the main bootable iso from Github, but I am sharing you, ready made OvF file, just import and use, no need to install. You can increase the Hardware Capacity like RAM, HDD STORAGE, or Graphics Memory, but you can minimise, because it is set upto minimum for smooth run. username is - hemant password is - <single space bar> for using... -
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esri-loader
A tiny library to help load ArcGIS API for JavaScript modules
...Follow the Install and Usage instructions below to get started. Then see more in depth instructions on how to configure the esri-loader and use it with React, Vue.js, Angular, Ember, or the ArcGIS Types. Learn how esri-loader can help improve application load performance and allow you to use the ArcGIS API in server-side rendered applications. The code snippets below show how to load the ArcGIS API and its modules and then use them to create a map. Where you would place similar code in your application will depend on which application framework you are using. ... -
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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Google Assistant Unofficial Desktop
A cross-platform unofficial Google Assistant Client for Desktop
...If you are on Windows 11, chances are you have winget pre-installed. If you are on older version of Windows (Windows 10) and don't have it installed, check out Install Winget documentation section to learn how to install it. -
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EZAPIYA TYPING MASTER
Ezapiya Typing Master is a software to learn typing, it supports multi
...Typing Master will also suggest certain exercises based on the stats it receives through its monitoring tool. Step-by-step approach Special care has been taken to ensure that students will learn to type fast in the most effective way. Users will be taught effective and quick typing by breaking down the whole process into smaller steps. This increases the learning process and makes it more effective. New keys will be introduced desperately followed by step-by-step drills to master them fluently. Typing tests to monitor your progress The skill tests are a great w -
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Shennina
Automating Host Exploitation with AI
...Shennina scans a set of input targets for available network services, uses its AI engine to identify recommended exploits for the attacks, and then attempts to test and attack the targets. If the attack succeeds, Shennina proceeds with the post-exploitation phase. The AI engine is initially trained against live targets to learn reliable exploits against remote services. Shennina also supports a "Heuristics" mode for identfying recommended exploits. -
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aws-sagemaker-egde-quick-device-setup
Command line interface to easily onboard device with SageMaker Edge
...Optionally there is a build script to generate binaries and shasums for the relevant OS/architecture combination. We support out-of-the-box distributions for known OS and architectures. Learn about how to configure AWS credentials. Since the required IAM policy is fairly permissive and the credentials are only needed during setup, we recommend using temporary credentials. In order to invoke the CLI to create required resources in cloud the user/role must have required permission. -
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DialoGPT
Large-scale pretraining for dialogue
...The system is built on the GPT-2 architecture and is designed specifically for multi-turn conversation tasks, enabling machines to produce coherent responses during interactive dialogue. The model was trained on a massive dataset of approximately 147 million conversational exchanges extracted from Reddit discussion threads, allowing it to learn patterns of natural human conversation. DialoGPT provides multiple pretrained model sizes and includes code for training, fine-tuning, and evaluating dialogue generation models. The repository also contains scripts for preparing conversation datasets and reproducing experimental benchmarks related to conversational AI research. -
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BCI
BCI: Breast Cancer Immunohistochemical Image Generation
...Project pix2pix provides a python script to generate pix2pix training data in the form of pairs of images {A,B}, where A and B are two different depictions of the same underlying scene, these can be pairs {HE, IHC}. Then we can learn to translate A(HE images) to B(IHC images). The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is conducted with immunohistochemical techniques (IHC), which is very expensive. Therefore, for the first time, we propose a breast cancer immunohistochemical (BCI) benchmark attempting to synthesize IHC data directly with the paired hematoxylin and eosin (HE) stained images. -
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Emb-GAM
An interpretable and efficient predictor using pre-trained models
...The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability. -
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Yellowbrick
Visual analysis and diagnostic tools to facilitate ML selection
Yellowbrick extends the Scikit-Learn API to make model selection and hyperparameter tuning easier. Under the hood, it’s using Matplotlib. Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow. -
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Gym
Toolkit for developing and comparing reinforcement learning algorithms
Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no... -
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Python ML Jupyter Notebooks
Practice and tutorial-style notebooks
...The project provides numerous examples and tutorials covering classical machine learning techniques such as regression, classification, clustering, and dimensionality reduction. It includes code implementations that show how to build models using popular libraries like scikit-learn, NumPy, pandas, and Matplotlib. The repository is designed to help learners understand both the theory and practical implementation of machine learning algorithms through step-by-step code examples. Many notebooks include explanations of algorithm behavior, data preparation techniques, and evaluation methods for machine learning models. ... -
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Overboot
OverlayFS toolkit composing system layers at boot time
...Possible applications: - creating, testing, and distributing update packages, - creating and managing system snapshots without using virtual machines, - protecting the root partition from unwanted changes and damage, - speeding up services and applications running in the user space, - reducing the number of write cycles in flash drives, - versioning changes across the system, - quick rollback of changes or updates, - quick and easy device role switching, - debugging, - practice systems for students and trainers. See https://github.com/chodak166/overboot to learn more. -
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Spring and Hibernate for Beginners
Source code for the course: Spring and Hibernate for Beginners
This repository contains code and resources for learning Spring and Hibernate, tailored to beginners looking to understand Java-based web development. Here is a Spring Boot Learning Path and Roadmap to help you learn more about Spring Boot. These are links to luv2code courses on Udemy. You can purchase the courses to further your studies. -
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Python Machine Learning 3rd Ed.
The "Python Machine Learning (3rd edition)" book code repository
...These examples are designed to illustrate how machine learning algorithms operate internally and how they can be applied to real datasets. Many examples rely on widely used libraries such as NumPy, scikit-learn, and deep learning frameworks to demonstrate modern machine learning workflows. -
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rafah
Random Forest Assignment of Hosts
...To tackle this issue we developed a machine-learning approach named Random Forest Assignment of Hosts (RaFAH), which outperformed other methods for virus-host prediction. Our rationale was that the machine could learn the associations between genes and hosts much more efficiently than a human, while also using the information contained in the hypothetical proteins. Random forest models were built using the Ranger package in R. -
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krangl
krangl is a {K}otlin DSL for data w{rangl}ing
krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible. -
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FileHelpers
The FileHelpers are a free and easy to use .NET library to read/write
...For example, log parsing, data warehouse and OLAP applications, communication between systems, file format transformations (for example transforming from a fixed length to a CSV file). The FileHelpers library is straightforward to learn and use. The engines of the library contain events to make it easier to extend the behavior of the library.