Search Results for "model-builder"
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Showing 89 open source projects for "model-builder"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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Model Context Protocol (MCP) Servers
Model Context Protocol Servers
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. -
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Prometheus
Open source monitoring system and time series database
...It works by collecting metrics from configured targets at given intervals, evaluating rule expressions, and then displaying the results. It can also signal an alert if a condition is observed to be true. What sets Prometheus apart from other monitoring systems is its highly dimensional data model, powerful query language, autonomous single server nodes, among many other distinguishing features. It also offers several client libraries for easy instrumentation of services, as well as many integration options. -
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WiFi DensePose
Turn WiFi signals into real-time human pose estimation and detection
...It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. The repository includes components for data processing, model inference, and real-time visualization, making it suitable for research and experimental deployments. Its architecture emphasizes performance and reproducibility, allowing developers to explore non-visual motion capture systems using accessible hardware. Overall, WiFi DensePose functions as an advanced research-grade toolkit for WiFi-based human sensing and pose estimation. -
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Anytype
Official Anytype client for MacOS, Linux, and Windows
...Unlike traditional cloud-based systems, Anytype stores data locally and syncs across devices using encrypted peer-to-peer protocols. It provides block-based document editing, a custom object model for data types, and a rich UI for organizing knowledge like a personal wiki. This repo includes the client logic that powers the app’s core experience. -
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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NetBird
Connect your devices into a secure WireGuard-based overlay network
NetBird is an open-source solution that builds a WireGuard®-based overlay network enabling seamless, encrypted peer-to-peer connectivity without the complexity of firewall rules, port forwarding, or centralized VPN gateways. It integrates access control features such as SSO and MFA for secure, policy-driven networking. Every machine in the network runs NetBird Agent (or Client) that manages WireGuard. Every agent connects to Management Service that holds network state, manages peer IPs, and... -
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PyG
Graph Neural Network Library for PyTorch
...In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). -
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Sentry
Cross-platform application monitoring and error tracking software
Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also... -
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Nox
Rust implementation of the Fluence network peer
...It enables developers to build and deploy composable services without central servers, ensuring tamper-resistant logic and trustless computation. Nox is designed to support multi-peer coordination, decentralized app logic, and data privacy, using Fluence’s Aqua programming model. Ideal for Web3 developers, Nox provides the building blocks to run interoperable backends directly from the edge. -
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Tau
Open source distributed Platform as a Service (PaaS)
tau is the core runtime and orchestration engine of the Taubyte platform, an event-driven, distributed computing framework for building and running decentralized applications. tau handles the dynamic deployment of code, services, and data across edge and cloud environments based on real-time events. It abstracts infrastructure and simplifies application delivery by combining GitOps principles with a secure, multi-tenant execution model. tau enables seamless scalability, event-based routing, and on-demand execution without managing underlying servers. -
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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Osquery
SQL operating system instrumentation and monitoring framework
...With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. Frequently, attackers will leave a malicious process running but delete the original binary on disk. This query returns any process whose original binary has been deleted, which could be an indicator of a suspicious process. -
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µWebSockets
Compliant web server for the most demanding of applications
Being meticulously optimized for speed and memory footprint, µWebSockets is fast enough to do encrypted TLS 1.3 messaging quicker than most alternative servers can do even unencrypted, cleartext messaging. Furthermore, we partake in Google's OSS-Fuzz with a ~95% daily fuzzing coverage with no sanitizer issues. LGTM scores us flawless A+ from having zero CodeQL alerts and we compile with pedantic warning levels. µWebSockets is written entirely in C & C++ but has a seamless integration for... -
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Jaeger
Monitor and troubleshoot transactions in complex distributed systems
...Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber Technologies. It is used for monitoring and troubleshooting microservices-based distributed systems. OpenTracing compatible data model and instrumentation libraries include Go, Java, Node, Python, C++ and C#. Jaeger uses consistent upfront sampling with individual per service/endpoint probabilities and it has multiple storage backends: Cassandra, Elasticsearch, memory. -
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NGINX Ingress Controller
NGINX Ingress Controller for Kubernetes
...Usually, a Kubernetes Controller utilizes the synchronization loop pattern to check if the desired state in the controller is updated or a change is required. To this purpose, we need to build a model using different objects from the cluster, in particular (in no special order) Ingresses, Services, Endpoints, Secrets, and Configmaps. -
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Spring Cloud Netflix
Integration with Netflix OSS components
This project provides Netflix OSS integrations for Spring Boot apps through autoconfiguration and binding to the Spring Environment and other Spring programming model idioms. With a few simple annotations you can quickly enable and configure the common patterns inside your application and build large distributed systems with battle-tested Netflix components. The patterns provided include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). ... -
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AgentGuard
AgentGuard is a firewall for AI agents
AgentGuard is a real-time protection layer designed to safeguard AI agents and applications from runaway execution, excessive costs, and unsafe behavior during interaction with large language model APIs. It works by intercepting API calls made by an AI system and continuously monitoring usage, including token consumption and associated costs, allowing developers to enforce strict budget limits. When predefined thresholds are reached, the system can automatically halt execution, trigger alerts, or gracefully terminate processes depending on the configured mode. ... -
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Beast
HTTP and WebSocket built on Boost.Asio in C++11
...It is designed for developers who need to build interoperable clients, servers, proxies, gateways, or custom protocol components rather than using a high-level web framework. Beast follows Boost.Asio’s asynchronous model, so it fits naturally into event-driven C++ networking applications. Its algorithms are role-agnostic, meaning the same core abstractions can be used to build client-side and server-side systems. The library provides protocol vocabulary types, parsers, serializers, examples, and reusable patterns for robust network programming. It is especially useful for C++ developers who want fine-grained control over HTTP and WebSocket behavior while staying within the Boost ecosystem. -
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flannel
flannel is a network fabric for containers, designed for Kubernetes
...Packets are forwarded using one of several backend mechanisms including VXLAN and various cloud integrations. Platforms like Kubernetes assume that each container (pod) has a unique, routable IP inside the cluster. The advantage of this model is that it removes the port mapping complexities that come from sharing a single host IP. Flannel is responsible for providing a layer 3 IPv4 network between multiple nodes in a cluster. Flannel does not control how containers are networked to the host, only how the traffic is transported between hosts. However, flannel does provide a CNI plugin for Kubernetes and a guidance on integrating with Docker. -
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
...It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network is needed after all. And so research continues. For simpler training, you can directly supply text strings instead of precomputing text encodings. ... -
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GameNetworkingSockets
Reliable & unreliable messages over UDP
GameNetworkingSockets is a basic transport layer for games. A reliability layer significantly more sophisticated than a basic TCP-style sliding window. It is based on the "ack vector" model from DCCP (RFC 4340, section 11.4) and Google QUIC and discussed in the context of games by Glenn Fiedler. The basic idea is for the receiver to efficiently communicate to the sender the status of every packet number (whether or not a packet was received with that number). By remembering which segments were sent in each packet, the sender can deduce which segments need to be retransmitted. ... -
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Interlocking system for modular model railroading. The goal is the development of hard- and software for an model interlocking interfacing on the one hand to the model railroad and on the other to the model of the userinterface of an real interlocking.
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VoIP monitor
VoIP SIP and SKINNY quality analyzer and packet / audio recording tool
VoIPmonitor is open source network packet sniffer with commercial frontend for SIP SKINNY MGCP RTP and RTCP VoIP protocols running on linux. VoIPmonitor is designed to analyze quality of VoIP call based on network parameters - delay variation and packet loss according to ITU-T G.107 E-model which predicts quality on MOS scale. Calls with all relevant statistics are saved to MySQL or ODBC database. Optionally each call can be saved to pcap file with either only SIP / SKINNY protocol or SIP/RTP/RTCP/T.38/udptl protocols. VoIPmonitor can also decode audio. -
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openWrt-snort
Image of OpenWrt OS, with snort community featured in.
Image of OpenWrt OS, with snort community featured in, for Raspberry Pi 4/ 4B+ and 400, basically for Processor BCM2711. Installed Snort Community Model to Intrusion Detection system. Prevention system not installed. eth0 used as output/ LAN socket, to run internet and access router. eth1, which can be USB -> Ethernet port, is used as WAN port, to connect Pi board to Internet IP. to flash img file, you can restore in SD card, or use Balena Etcher to flash. or you can use DD commend of UNIX. ... -
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Advanced DHCP Server Live CD (With GUI)
The Free & Popular opendhcp application for Physical & Virtual Machine
...Shutdown & choose the Save option. This will help in copying from RAM to USB Disk 8. Restart & click the lease status desktop icon, to see your changes go live 9. Follow this model to install more services / servers. Check README file append_to_etc_scripts.txt to see how services are automatically started. 10. Click installer icon on desktop, update it for setups -
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Webfunny
Front-end performance monitoring and user analytics platform
Webfunny is a lightweight front-end performance monitoring and user analytics platform designed for private deployment environments. It combines real-time client-side monitoring with customizable event tracking, allowing teams to collect both technical performance metrics and business interaction data from web applications. The system provides dashboards for error analysis, page performance, API latency, and user behavior, enabling comprehensive visibility into frontend health. Its...
