Best Teachable Machine Alternatives

DataHeroes helps build better ML models faster with real-time machine learning and blazing fast hyperparameter tuning using Coreset Tree data structure.

Modelex AI

Modelex AI empowers organizations to make their AI models smarter through self-organizing, ad hoc, distributed infrastructure, enabling rapid innovation, monetization and enhanced decision-making.

Neuryte LLLM

Free

Privacy-first Local Large Language Model. Simple inference and fine-tuning. No AI expertise needed. Experience full local execution on your own graphics card, ensuring your data's privacy and security.

Modela

Modela is a no-code machine learning platform extending Kubernetes with automatic machine learning capabilities. Train, deploy, and scale ML models with a Kubernetes-native approach.

Deeplearning4j

Deeplearning4j: Open-source, JVM-based deep learning suite. Train models in Java, interoperable with Python, and deploy to various environments.

Alpa

Alpa is a system for training and serving large-scale neural networks, supporting distributed training and serving of massive models.

PyTorch-Ignite

Free

High-level library for training and evaluating neural networks in PyTorch. Offers a simple engine, rich handlers, distributed training support, and integration with experiment managers.

Liner

Free

Train and deploy machine learning models easily, without coding, using Liner's intuitive interface.

Horovod

Horovod is a distributed deep learning training framework for PyTorch, TensorFlow, Keras and Apache MXNet, designed to make distributed deep learning fast and easy to use.

Determined AI

Open-source deep learning platform for training models faster, hyperparameter tuning, experiment tracking, and resource management. Supports distributed training and team collaboration.

Haven

Open-source platform for training, evaluating, and deploying LLMs.

Trainengine