DXO deep learning - TypeScript entry (developer preview, API unstable)

Learning typescript.

Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1

For learning typescript, this project describes the application, at Spartans and Heroes as users of system. The Spartans describes amount of death peoples and Heroes amount of saved peoples.

TypeScript is a language for application scale JavaScript development

A parser that converts TypeScript source code into an ESTree compatible form

TypeScript scope analyser for ESLint

Utilities for working with TypeScript + ESLint together

Types for the TypeScript-ESTree AST spec

List of ML tasks for huggingface.co/tasks

Visitor keys used to help traverse the TypeScript-ESTree AST

TypeScript plugin for ESLint

Type utilities for working with TypeScript + ESLint together

Utilities for collecting TSConfigs for linting scenarios.

Standalone TypeScript project service wrapper for linting.

An ESLint custom parser which leverages TypeScript ESTree

Self-Optimizing Neural Architecture (SONA) - Runtime-adaptive learning with LoRA, EWC++, and ReasoningBank for LLM routers and AI systems. Sub-millisecond learning overhead, WASM and Node.js support.

My aim is creating npm package with typescript using jest and eslint. In addition learning typescript interfaces, enums, types and others.

Describe binary structures with full TypeScript support. Encode and decode into pure JavaScript objects.

Tooling which enables you to use TypeScript with ESLint