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Documentation

Docs

Everything you need to get started with Remap Studios — from installation to advanced usage.

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Quick Start Guide

Go from zero to your first unlearned model

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API Reference

Complete REST API documentation

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Desktop App Guide

IDE features, visualization, and shortcuts

Getting Started

Installation

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Install the desktop app or CLI on macOS, Windows, or Linux

Quick Start

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Load your first model and run unlearning in 5 minutes

System Requirements

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Hardware and software prerequisites

Core Concepts

Machine Unlearning

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What it is, why it matters, and how it works

Model Architecture

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Understanding layers, tensors, and neural network structure

Unlearning Methods

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Retain-Aware vs Gradient Forgetting — when to use each

Guides

Loading Models

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Supported formats, directory structures, and configuration

Weight Analysis

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Inspecting tensors, heatmaps, and statistical analysis

Running Unlearning

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Configuring targets, hyperparameters, and monitoring progress

Evaluation

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Probing model capabilities before and after unlearning

Exporting Models

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Saving modified models in various formats

API Reference

REST API

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HTTP endpoints for model management, unlearning, and evaluation

Python SDK

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Programmatic access to Remap Studios from Python

Authentication

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API keys, OAuth, and access control

Desktop App

IDE Overview

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Panels, tabs, canvas, and keyboard shortcuts

Visualization Engine

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Interactive neural network visualization

Chat Assistant

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Using the AI assistant for model analysis

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text-remapstudios

Making AI models smaller, faster, and smarter by unlearning unnecessary knowledge — without losing accuracy.

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