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Free Javascript Extreme Learning Machine AI Library Available Through NPM
Open-source ELM implementation with lightning-fast training and simple integration. Get started with production-ready machine learning in minutes, not hours.
Get Started in Seconds
Simple installation and straightforward API
npm install @astermind/astermind-elm
import { ELM } from '@astermind/astermind-elm';
// Create and train your model
const model = new ELM({ hiddenNodes: 100 });
model.train(trainingData, labels);
// Make predictions
const predictions = model.predict(testData);That's it! Your extreme learning machine is ready to use.
Community Edition Features
Production-ready ML capabilities for modern applications
4 Core ML Models
- ELM (Extreme Learning Machine)
- KernelELM (Kernel-based ELM)
- OnlineELM (Streaming/Incremental)
- DeepELM (Multi-layer Architectures)
9 Prebuilt Task Modules
- AutoComplete & LanguageClassifier
- IntentClassifier & EncoderELM
- CharacterLangEncoderELM
- ConfidenceClassifierELM & More
Real-Time Performance
- Millisecond training speed
- Microsecond inference
- Tiny KB-sized models
- Web Workers support
Advanced Capabilities
Training & Learning
- Batch & incremental training
- Data augmentation
- Multiple regularization options
- Closed-form training
Text Processing
- Character-level encoding
- Token-level encoding
- Text normalization
- N-gram support
Retrieval & Embeddings
- EmbeddingStore vector database
- KNN search (cosine, dot, Euclidean)
- Multi-model ensemble retrieval
- Real-time similarity search
Evaluation Metrics
- Classification: Accuracy, F1, Precision
- Regression: RMSE, MAE, R²
- Retrieval: Recall@K, MRR
- Per-class statistics
Model Management
- JSON import/export
- Model versioning
- Full state persistence
- Incremental updates
Activation Functions
- ReLU, LeakyReLU, Sigmoid
- Tanh, Linear, GELU
- Softmax
Developer Experience
Full TypeScript Support
Type-safe development with comprehensive TypeScript definitions, UI binding utilities, and IntelliSense support.
- Data augmentation utilities
- IO utilities (JSON, CSV, TSV)
- Comprehensive examples
Cross-Platform Deployment
Deploy anywhere - browser, Node.js, or edge computing platforms. Zero infrastructure required.
- Browser (NPM, CDN, ESM)
- Node.js (CommonJS, ESM)
- Windows, Linux, macOS
Kernel Types (KernelELM)
Multiple kernel functions for enhanced model flexibility and performance optimization.
- RBF, Linear, Polynomial
- Laplacian
- Custom kernel support
Weight Initializers
Choose the right initialization strategy for optimal model convergence and performance.
- Uniform initialization
- Xavier initialization
- He initialization
Perfect For
Common scenarios where AsterMind-ELM Community Edition excels
Real-time Classification
Sentiment analysis, intent detection, language identification
Text Processing
AutoComplete, character encoding, token analysis
Embedding & Retrieval
Vector search, similarity matching, RAG systems
Streaming Learning
Incremental training, online adaptation, continuous learning
Edge Computing
Browser-based ML, offline capability, zero latency
Rapid Prototyping
MVP development, research projects, experiments
Frequently Asked Questions
Common questions about AsterMind-ELM Community Edition
Start Building with ELM Community Edition
Join developers worldwide using AsterMind-ELM for fast, efficient machine learning