Realtime model synchronization engine for Node.js
Babel syntactic sugar for k-model support in Kdu JSX
Babel syntactic sugar for k-model support in Kdu JSX
JSX k-model transform
A helper library for loading and saving the .api.json files created by API Extractor
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
Color conversion and manipulation with CSS string support
No description provided.
Babel syntactic sugar for v-model support in Vue JSX
A framework to transform from GraphQL SDL to AWS CloudFormation.
This package contains the trace engine implementation used by the DevTools Performance Panel.
The **[Fireworks provider](https://ai-sdk.dev/providers/ai-sdk-providers/fireworks)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model and image model support for the [Fireworks](https://fireworks.ai) platform.
TensorFlow layers API in JavaScript
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
Genkit AI framework plugin for Google Cloud Platform including Firestore trace/state store and deployment helpers for Cloud Functions for Firebase.
Matter data model
[](https://npm-stat.com/charts.html?package=@sanity/preview-url-secret) [ client** for the [AI SDK](https://ai-sdk.dev/docs) lets you connect to MCP servers and use their tools with AI SDK functions like `generateText` and `streamText`.
A minimalistic JavaScript implementation of the Jinja templating engine, specifically designed for parsing and rendering ML chat templates.
OpenAI integrations for LangChain.js
Amplify graphql @model transformer
ProseMirror's document model
Easily display interactive 3D models on the web and in AR!
Tool schema compatibility layer for Mastra.ai
LLM model integrations for Rust Agent Development Kit (ADK-Rust) (Gemini, OpenAI, Claude, DeepSeek, etc.)
Replacement models for BLS12, BN and BW6 of ark-ec
Model registry and configuration for ck semantic search
Crabtalk LLM provider implementations
ÐecisionToolkit | DMN model and parser
ÐecisionToolkit | DMN model evaluator
fenwick-tree-based test utils for the 'arithmetic-coding' crate
A pure Rust implementation of Hosek-Wilkie Skylight Model.
Shared data models for KeyHook.
LLM inference module for Memvid Q&A with local and cloud model support
Integrated geometric and topological modeling algorithms
PLINK1 full case/control genotypic association (--model): GENO, TREND, ALLELIC, DOM, REC
Adds k/v functionality through an ActiveRecord model in an association.
Rumale::Clustering provides cluster analysis algorithms, such as K-Means, Gaussian Mixture Model, DBSCAN, and Spectral Clustering, with Rumale interface.
Rumale::ModelSelection provides model validation techniques, such as k-fold cross-validation, time series cross-validation, and grid search, with Rumale interface.
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
kiki is a dead-simple module that you can include in your Models that provides convenient, DRY way of generating unique keys for your favorite K/V or NoSQL databases.
The library for data clustering is implemented by k-means algorithm.With the library, you can monitor the model’s training processand end the training if the result is converged. 這是一個分群用的library。他實作了k-means演算法。透過這個library你可以監看整個model訓練的過程，並且在結果收斂的時候結束訓練。
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.