Model Training Tools

Broad Learning System is a novel machine learning paradigm offering fast, accurate, and incremental learning without deep structures, suitable for big data environments.

Datasaur

Freemium

Datasaur is an AI tool that provides a robust NLP Labeling & LLM platform for organizations to build custom, secure AI models and manage their data.

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.

Interpretable AI

Interpretable AI offers software modules for interpretable machine learning, including optimal trees, imputation, and feature selection, with interfaces for Julia, Python, and R.

Modela

Freemium

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 is a comprehensive suite of tools for running deep learning on the JVM, enabling model training, interoperability with Python, and deployment across various environments.

PyTorch-Ignite

PyTorch-Ignite is a high-level library designed to help with training and evaluating neural networks in PyTorch, offering flexibility and transparency.

MLDB

MLDB is an open-source machine learning database that allows users to store, explore, and manipulate data using SQL, train models, and expose them as APIs.

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.

CatBoost

CatBoost is a high-performance open source library for gradient boosting on decision trees, developed by Yandex. It delivers great quality, fast prediction, and categorical feature support.

Custom Vision

Custom Vision is a tool that allows users to easily customize state-of-the-art computer vision models by uploading labeled images for training and evaluation.

XGBoost

XGBoost is an optimized, distributed gradient boosting library providing highly efficient, flexible, and portable machine learning algorithms for diverse data science problems.

Automorphic

Infuse knowledge into language models with just 10 samples through Automorphic, currently in private beta.

Haven

Freemium