Search Results for "knowledge" - Page 21
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Showing 1972 open source projects for "knowledge"
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
...It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. The repository also contains a generator tool that can pull ontology definitions and emit TypeScript definitions in bulk, ensuring the typings stay up to date and maintain consistency. It supports scenarios such as nested objects, graphs of entities, and action types with input/output constraints, which makes it suitable for rich metadata authoring and linked-data workflows. ... -
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Helmsman
Helm Charts as Code
Helmsman is a Helm Charts (k8s applications) as Code tool that allows you to automate the deployment/management of your Helm charts from version-controlled code. Helmsman uses a simple declarative TOML file to allow you to describe a desired state for your k8s applications as in the example toml file. Alternatively YAML declaration is also an acceptable example YAML file. Helmsman sees what you desire, validates that your desire makes sense (e.g. that the charts you desire are available in... -
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Digital Earth Australia notebooks
Repository for Digital Earth Australia Jupyter Notebooks
The knowledge hub brings together information about Digital Earth Australia’s products and services, allowing you to utilize our free and open-source satellite imagery archive. Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. ... -
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spacy-transformers
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre trained transformer model if you install spacy-transformers. You can also do your own language model pretraining via the spacy pre train command. ... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Django Wiki
A wiki system with complex functionality for simple integration
A wiki system with complex functionality for simple integration and a superb interface. Store your knowledge with style: Use django models. Readability, however, is emphasized above all else. A Markdown-formatted document should be publishable as-is, as plain text, without looking like it's been marked up with tags or formatting instructions. While Markdown's syntax has been influenced by several existing text-to-HTML filters -- including Setext, atx, Textile, reStructuredText, Grutatext, and EtText -- the single biggest source of inspiration for Markdown's syntax is the format of plain text email. ... -
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AutoGluon
AutoGluon: AutoML for Image, Text, and Tabular Data
...Intended for both ML beginners and experts, AutoGluon enables you to quickly prototype deep learning and classical ML solutions for your raw data with a few lines of code. Automatically utilize state-of-the-art techniques (where appropriate) without expert knowledge. Leverage automatic hyperparameter tuning, model selection/ensembling, architecture search, and data processing. Easily improve/tune your bespoke models and data pipelines, or customize AutoGluon for your use-case. AutoGluon is modularized into sub-modules specialized for tabular, text, or image data. You can reduce the number of dependencies required by solely installing a specific sub-module via: python3 -m pip install <submodule>. -
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HugeGraph
A graph database that supports more than 100+ billion data
...HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports Gremlin graph query language and RESTful API but also provides commonly used graph algorithm APIs. To help users easily implement various queries and analyses, HugeGraph has a full range of accessory tools, such as supporting distributed storage, data replication, scaling horizontally, and supports many built-in backends of storage engines. -
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
...With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks. -
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SwiftNIO
Network application framework for protocol servers and clients
...High-level implementations are usually libraries that come with an API that doesn't expose SwiftNIO's ChannelPipeline and can therefore be used with very little (or no) SwiftNIO-specific knowledge. The implementations listed below do still do all of their I/O in SwiftNIO and integrate really well with the SwiftNIO ecosystem. SwiftNIO aims to support all of the platforms where Swift is supported. Currently, it is developed and tested on macOS and Linux. -
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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AWS SDK for JavaScript
AWS SDK for JavaScript in the browser and Node.js
Find all the tools, documentation, and sample code you need to develop secure, reliable, and scalable JavaScript applications on the AWS cloud. Read and watch guidance from experts on AWS. See how to get the most from AWS. Find solutions to common challenges. Gain the knowledge to get the most from the AWS cloud. Get started building Node.js applications with the AWS SDK for JavaScript and front-end web and mobile apps with Amplify JavaScript Libraries. Amplify Libraries are built on top of the AWS SDK for JavaScript and provide easy-to-use interfaces for common app use cases such as authentication, storage, API. ... -
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DGL
Python package built to ease deep learning on graph
...Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure. DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers. We want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. ... -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that automates the process of building best performing models for your Machine Learning scenario. ... -
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Must-Watch CSS
CSS Grid, flexbox, custom variables, performance, frameworks
Must-Watch CSS is a curated collection of high-quality recorded talks and presentations about CSS, covering both foundational topics (like layout, Flexbox, Grid) and more advanced or modern concerns (such as performance, tooling, CSS variables, animations, and architecture). Rather than being a code library, it serves as a learning resource — a “watch-list” for front-end or UI developers who want to deepen their understanding of CSS beyond basic syntax. The repository organizes talks by year... -
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OnlineToolsBook
Online tool cheats, write a high-quality manual for online tools
OnlineToolsBook positions itself as a “manual/handbook” for useful online tools — collating, documenting, and explaining many web-based utilities to help users discover, understand, and effectively use them. Rather than building a single web-tool, this repository serves as a knowledge base: descriptions, guidance, and possibly examples or usage notes about a variety of online tools, organized in a way that’s meant to help “make online tools benefit humanity.” For someone who frequently resorts to ad-hoc web tools to solve tasks (text manipulation, image processing, conversion, utilities), OnlineToolsBook acts as an aggregator of “cheat sheets” or curated pointer collection rather than a specific application. ... -
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Tongyi DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
...It uses a mix of synthetic data generation, fine-tuning and reinforcement learning; supports benchmarks like web search, document understanding, question answering, “agentic” tasks; provides inference tools, evaluation scripts, and “web agent” style interfaces. The aim is to enable more autonomous, agentic models that can perform sustained knowledge gathering, reasoning, and synthesis across multiple modalities (web, files, etc.). -
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PostgresML
The GPU-powered AI application database
...Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. ... -
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Erupt Framework
Pure Java annotation, single class file, rapid development
Pure Java annotation, single class file, rapid development of Admin management background. Does not generate any code, zero front-end code, zero CURD, automatic table creation, annotated API, custom service logic, supports all mainstream databases, supports custom pages, supports multiple data sources, provides more than 20 types of business components, more than a dozen It supports logical deletion, dynamic timing tasks, front-end and back-end separation, etc. Core technologies: Spring... -
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Prophet
Tool for producing high quality forecasts for time series data
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal... -
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React Native Navigation
A complete native navigation solution for React Native
React Native Navigation is a module, dependent on and intended to be used alongside React Native, so some experience with it and knowledge of core concepts is required. We also assume you are working on a Mac with XCode and Android Studio installed and setup. You can also make it work in a Linux distribution, of course, but in that case bear in mind that some sections of the docs that deal with iOS might not be relevant to you. When your app is launched for the first time, the bundle is parsed and executed. ... -
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MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training
MedicalGPT training medical GPT model with ChatGPT training pipeline, implementation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT trains large medical models, including secondary pre-training, supervised fine-tuning, reward modeling, and reinforcement learning training. -
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General Knowledge Machine Project
Intellect Modeling Kit: assisting research, diagnostics, consulting
We humans are bound by intellectual abilities. All knowledge is far beyond power of any person. The only way to apply knowledge is to build machines able to present it human way but not limited by volume. Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate propositions; * Memorizing - new knowledge item creation; * Abstraction – building objects representing typical signs of similar objects groups, data mining. ... -
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Introduction to Programming Principles
Categorized overview of Programming Principles & Patterns
...It documents well-known concepts like SOLID, DRY, KISS, YAGNI, and others, and explains when and why to apply them. The goal is to move principles from being fuzzy tribal knowledge to explicit, written, teachable guidelines. Because it’s on GitHub, it can evolve as the community suggests new principles, clarifications, and real-world examples. The repository is especially useful for onboarding junior developers or creating internal engineering handbooks. It also serves as a companion to code-quality projects by giving the “why” behind refactoring and architectural choices. -
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Ai-Learn
The artificial intelligence learning roadmap compiles 200 cases
...It organizes topics such as Python programming, mathematics for machine learning, data analysis, deep learning, computer vision, and natural language processing into a structured learning path. The project also provides a large collection of practical exercises and case studies that allow learners to apply theoretical knowledge through real projects. According to the repository description, it includes nearly two hundred hands-on AI examples developed through years of teaching experience. -
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KeeperRL
A downloadable game for Windows, macOS, and Linux
KeeperRL is an ambitious dungeon builder with roguelike elements. Take the role of an evil wizard and seek the ultimate knowledge of destruction. Explore the world, murder innocent villagers and burn their homes. Build your dungeon, lay traps and prepare for an assault of angry heroes. When you control your minions the game becomes a classic roguelike, with turn-based and very tactical combat. You can also play as an adventurer and assault dungeons made by you or other players. ... -
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FreeMind
A premier mind-mapping software written in Java
A mind mapper, and at the same time an easy-to-operate hierarchical editor with strong emphasis on folding. These two are not really two different things, just two different descriptions of a single application. Often used for knowledge and content management.
