AutoGluon
H2O.ai
R Caret
Scikit-learn
TensorFlow
PyTorch
Keras
datarobot
Weights & Biases
neptune.ai
Managed MLflow
Algorithmia
Comet.ml
Spell
MCenter
Iterative.ai
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Hey Folks - I recently learned about AutoGluon (https://auto.gluon.ai) and was hoping to use it for HPO among other ML tasks! Using their quick quid, I can successfully use their TabularPredictor for my regression problem and get a number of models trained and have access to a number of details, e.g., performance, and hyperparameters used. However, using the same dataset I fail (with somewhat of a cryptic error... Source: almost 3 years ago
H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
R Caret - Documentation for the caret package.
Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.