MLForge — A Unified AI/ML Platform for Computer Vision

Building AI projects often means switching between multiple tools—for datasets, models, annotation, benchmarking, training, and deployment.

I wanted a simpler workflow, so I built MLForge.

MLForge is a free, local-first platform that brings the entire computer vision workflow into one place.

Features

• 🔍 Discover 20,000+ AI models and datasets from leading providers

• 🏷️ Built-in annotation studio

• 📊 Benchmark models and hardware

• ⚡ Run inference with an intuitive dashboard

• 🚀 Train computer vision models

• 📦 Deploy models from a single interface

• 💻 Supports Windows, Linux, and macOS

Why MLForge?

Instead of managing multiple tools and workflows, MLForge provides a unified workspace for ML engineers, researchers, students, and AI developers.

Whether you're starting a new project or deploying a production model, everything is available in one platform.

🌐 Website: https://mlforge.in

🎥 Demo: https://youtu.be/V0YBemyTkG8

I'm actively developing MLForge and would love your feedback. If there's a feature you'd like to see or something that could improve your workflow, let me know.