Machine Learning Canvas is a visual tool for building, training, and deploying your own machine learning models without coding.
Download coming soonMachine Learning Canvas (MLC) lets you build and train models with a simple drag-and-drop interface. No coding required, no complexity—just seamless control over every layer, connection, and parameter.
With a sleek, node-based system and limitless customization, MLC bends to your style. Prototype, experiment, and optimize with a workflow as dynamic as you are.
Supercharged by MLC Lightning, train 2x faster and 3x more efficiently than PyTorch. Push boundaries, break limits, and build smarter—without the wait.
Build complex machine learning models visually with an intuitive drag-and-drop interface. Machine Learning Canvas (MLC) simplifies architecture design, allowing you to connect layers and configure hyperparameters—all without coding.
Design and manage your entire training workflow with a visual, node-based system. Machine Learning Canvas (MLC) streamlines the process, from data loading to model evaluation, ensuring a seamless and efficient training experience.
Machine Learning Canvas (MLC) is optimized for speed and efficiency. While its native model outperforms PyTorch slightly, MLC Lightning takes it further—2x faster training and 3x lower memory usage. With 8-bit precision and accelerating, MLC Lightning lets you train larger models faster and with fewer resources.