Search Results for "apache" - Page 62
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Showing 11372 open source projects for "apache"
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cross-platform-terminal-characters
All the characters that work on most terminals
cross-platform-terminal-characters is a utility library that provides consistent, cross-platform terminal characters such as checkmarks, arrows, and box-drawing symbols for use in command-line interfaces. It ensures that terminal UI components look correct and legible across operating systems like Windows, macOS, and Linux, accounting for encoding and font inconsistencies. By automatically selecting fallback characters when necessary, it simplifies the process of designing beautiful,... -
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LightZero
[NeurIPS 2023 Spotlight] LightZero
LightZero is an efficient, scalable, and open-source framework implementing MuZero, a powerful model-based reinforcement learning algorithm that learns to predict rewards and transitions without explicit environment models. Developed by OpenDILab, LightZero focuses on providing a highly optimized and user-friendly platform for both academic research and industrial applications of MuZero and similar algorithms. -
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EvoTorch
Advanced evolutionary computation library built on top of PyTorch
EvoTorch is an evolutionary optimization framework built on top of PyTorch, developed by NNAISENSE. It is designed for large-scale optimization problems, particularly those that require evolutionary algorithms rather than gradient-based methods. -
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Brax
Massively parallel rigidbody physics simulation
Brax is a fast and fully differentiable physics engine for large-scale rigid body simulations, built on JAX. It is designed for research in reinforcement learning and robotics, enabling efficient simulations and gradient-based optimization. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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MindSearch
An LLM-based Multi-agent Framework of Web Search Engine
MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets. -
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AgentRun
The easiest, and fastest way to run AI-generated Python code safely
AgentRun is a framework for building autonomous AI agents capable of executing complex tasks with minimal human intervention. It provides a structured environment for defining agent behaviors, managing workflows, and integrating AI models to achieve specific goals. -
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OpenRLHF
An Easy-to-use, Scalable and High-performance RLHF Framework
OpenRLHF is an easy-to-use, scalable, and high-performance framework for Reinforcement Learning with Human Feedback (RLHF). It supports various training techniques and model architectures. -
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BoxyHQ Enterprise SaaS Starter Kit
Kickstart your enterprise app development with the Next.js SaaS
Enterprise-ready SaaS Starter Kit is a Next.js-based SaaS Starter Kit that can save hundreds of development hours while building enterprise-ready SaaS apps. Kickstart your enterprise app development with Next.js SaaS Starter Kit. -
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go-mysql-server
A MySQL-compatible relational database with a storage agnostic query
go-mysql-server is a data-source agnostic SQL engine and server which runs queries on data sources you provide, using the MySQL dialect and wire protocol. A simple in-memory database implementation is included, and you can query any data source you want by implementing your own backend. Dolt, a SQL database with Git-style versioning, is the main production database implementation of this package. Check out that project for a reference implementation. Or, hop into the Dolt Discord server here... -
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Grafana Operator
An operator for Grafana that installs and manages Grafana instances
The Grafana Operator is a Kubernetes operator built to help you manage your Grafana instances and its resources in and outside of Kubernetes. Whether you’re running one Grafana instance or many, the Grafana Operator simplifies the processes of installing, configuring, and maintaining Grafana and its resources. Additionally, it's perfect for those who prefer to manage resources using infrastructure as code or using GitOps workflows through tools like ArgoCD and Flux CD. -
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Actix Web
Actix Web is a powerful, pragmatic, and extremely fast web framework
Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust. Forget about strongly typed objects, from request to response, everything has types. Actix provides a lot of features out of the box. HTTP/2, logging, etc. Easily create your own libraries that any Actix application can use. Getting started with Actix is easy. An Actix app comes with a URL routing system that lets you match on URLs and invoke individual handlers. -
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Bee Agent Framework
The framework for building scalable agentic applications
Open-source framework for building, deploying, and serving powerful agentic workflows at scale. The Bee Agent Framework makes it easy to build scalable agent-based workflows with your model of choice. The framework is been designed to perform robustly with IBM Granite and Llama 3.x models, and we’re actively working on optimizing its performance with other popular LLMs. Our goal is to empower developers to adopt the latest open-source and proprietary models with minimal changes to their... -
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MagicAPI AI Gateway
Built for demanding AI workflows
The world's fastest AI Gateway proxy, written in Rust and optimized for maximum performance. This high-performance API gateway routes requests to various AI providers (OpenAI, GROQ) with streaming support, making it perfect for developers who need reliable and blazing-fast AI API access. -
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Splunk Attack Range
A tool that allows you to create vulnerable environments
The Splunk Attack Range is an open-source project maintained by the Splunk Threat Research Team. It builds instrumented cloud (AWS, Azure) and local environments (Virtualbox), simulates attacks, and forwards the data into a Splunk instance. This environment can then be used to develop and test the effectiveness of detections. -
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BudouX
Standalone, small, language-neutral
Standalone. Small. Language-neutral. BudouX is the successor to Budou, the machine learning-powered line break organizer tool. It is standalone. It works with no dependency on third-party word segmenters such as Google cloud natural language API. It is small. It takes only around 15 KB including its machine learning model. It's reasonable to use it even on the client-side. It is language-neutral. You can train a model for any language by feeding a dataset to BudouX’s training... -
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Chronos Forecasting
Pretrained (Language) Models for Probabilistic Time Series Forecasting
Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as... -
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Shapash
Explainability and Interpretability to Develop Reliable ML models
Shapash is a Python library dedicated to the interpretability of Data Science models. It provides several types of visualization that display explicit labels that everyone can understand. Data Scientists can more easily understand their models, share their results and easily document their projects in an HTML report. End users can understand the suggestion proposed by a model using a summary of the most influential criteria. -
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Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks. -
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SkyPilot
SkyPilot: Run AI and batch jobs on any infra
SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface. -
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kpack
Kubernetes Native Container Build Service
kpack extends Kubernetes and utilizes unprivileged Kubernetes primitives to provide builds of OCI images as a platform implementation of Cloud Native Buildpacks (CNB). kpack provides a declarative builder resource that configures a Cloud Native Buildpacks build configuration with the desired build pack order and operating system stack. kpack provides a declarative image resource that builds an OCI image and schedules rebuilds on source changes and from builder build pack and builder stack... -
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Sysdig Inspect
A powerful opensource interface for container troubleshooting
Sysdig Inspect is a powerful opensource interface for container troubleshooting and security investigation. Inspect's user interface is designed to intuitively navigate the data-dense sysdig captures that contain granular system, network, and application activity of a Linux system. Sysdig Inspect helps you understand trends, correlate metrics and find the needle in the haystack. It comes packed with features designed to support both performance and security investigations, with deep... -
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cdebug
A swiss army knife of container debugging
A swiss army knife of container debugging. Execute commands or start interactive shells in scratch, slim, or distroless containers, with ease. The cdebug exec command is a crossbreeding of docker exec and kubectl debug commands. You point the tool at a running container, say what toolkit image to use, and it starts a debugging "sidecar" container that feels like a docker exec session to the target container. -
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OpenELB
Load Balancer Implementation for Kubernetes in Bare-Metal, Edge, etc.
OpenELB is an open-source load balancer implementation designed for exposing the LoadBalancer type of Kubernetes services in bare metal, edge, and virtualization environments. In cloud-based Kubernetes clusters, Services are usually exposed by using load balancers provided by cloud vendors. However, cloud-based load balancers are unavailable in bare-metal or on-premise environments. OpenELB allows users to create LoadBalancer Services in bare-metal, edge, and virtualization environments for... -
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Gatekeeper
Policy Controller for Kubernetes
A customizable cloud-native policy controller that helps enforce policies and strengthen governance. Gatekeeper makes managing policies on top of Kubernetes easy. Policies can be enforced at admission time or at runtime via the audit functionality. Gatekeeper is powered by the Open Policy Agent (OPA) project. Using OPA allows you to write policies that are powerful, flexible, and portable. Browse the policy library to find existing policies that fit your use case. Each policy in the library... -
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Online Boutique
Sample cloud-first application with 10 microservices
Online Boutique is a cloud-first microservices demo application. The application is a web-based e-commerce app where users can browse items, add them to the cart, and purchase them. Google uses this application to demonstrate the use of technologies like Kubernetes, GKE, Istio, Stackdriver, and gRPC. This application works on any Kubernetes cluster, like Google Kubernetes Engine (GKE). It’s easy to deploy with little to no configuration.
