Search Results for "incremental dbscan code"
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8 projects for "incremental dbscan code" with 2 filters applied:
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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A2UI
A Protocol for Agent-Driven Interfaces
...This approach separates UI intent from UI implementation, making it possible for the same agent-generated interface to be rendered across different platforms such as web, mobile, and desktop applications. A key design principle of A2UI is security, as it avoids executing arbitrary code generated by models and instead restricts output to structured data that maps to a predefined catalog of trusted UI components. The system also supports incremental updates, allowing agents to progressively modify the interface as a conversation evolves. -
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markstream-vue
A Vue 3 renderer specifically built for AI-powered streaming Markdown
...The framework focuses on eliminating jitter and reflow issues that commonly occur when rendering progressively generated text, ensuring a smooth and readable user experience even during rapid updates. It integrates advanced rendering support for complex content types such as code editors via Monaco, diagrams via Mermaid, and mathematical expressions via KaTeX, all optimized for incremental updates. The architecture is tailored for reactive front-end environments, leveraging Vue’s reactivity system to efficiently update only the necessary parts of the DOM. -
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Ploomber
The fastest way to build data pipelines
Ploomber is an open-source framework designed to simplify the development and deployment of data science and machine learning pipelines. It allows developers to transform exploratory data analysis workflows into production-ready pipelines without rewriting large portions of code. The system integrates with common development environments such as Jupyter Notebook, VS Code, and PyCharm, enabling data scientists to continue working with familiar tools while building scalable workflows. Ploomber... -
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Dagger
Containerized automation engine for programmable CI/CD workflows
Dagger is an open source automation engine designed to build, test, and deliver software in a consistent and programmable way. It enables developers to define software delivery workflows using code instead of complex shell scripts or configuration files. Dagger executes tasks inside containers, ensuring that automation runs in identical environments across local machines, CI servers, or cloud infrastructure. Dagger provides a core execution engine and system API that orchestrates containers,... -
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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Context Hub
Makes coding agents get smarter with every task
Context Hub is a curated documentation system built to help coding agents write more accurate code. It gives agents versioned, language-specific reference material instead of forcing them to rely on noisy web searches or stale model memory. The project includes a CLI called chub that agents can use to search for available docs, fetch specific API guidance, and request only the files they need. It also supports local annotations, allowing an agent to remember project-specific notes, pitfalls,... -
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ConvNeXt
Code release for ConvNeXt model
ConvNeXt is a modernized convolutional neural network (CNN) architecture designed to rival Vision Transformers (ViTs) in accuracy and scalability while retaining the simplicity and efficiency of CNNs. It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. ConvNeXt’s clean, hierarchical structure... -
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tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
...The material is intended for learners who already have foundational knowledge of ML and wish to deepen their understanding of deep learning frameworks and practices. The repo supports experimentation: you can run code, tweak hyperparameters, and follow guided exercises that strengthen practical mastery. Rather than being book-based, it is course-based, meaning the flow, examples and structure lean toward interactive teaching and incremental builds. It’s well-suited for those who want a focused, deep-learning path rather than a broad ML textbook. -
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This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...
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