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TimeGPT is a cloud API that generates time-series forecasts from historical data, designed for developers and data scientists who want to avoid building and maintaining their own forecasting infrastructure.

TensorFlow is an open-source software library for numerical computation and large-scale machine learning, used to build, train, and deploy AI models.

SuperAGI provides an open-source platform for building and running autonomous AI agents that can perform tasks, use tools, and interact with external systems.

Sonnet is an open-source Python library for building neural network models on TensorFlow, providing reusable modules for deep learning research.

Provides a free, open-source Python library for classical machine learning algorithms and model evaluation tools.

PyTorch is an open-source machine learning framework that provides tools for building, training, and deploying neural networks, primarily used for deep learning research and production AI applications.

PyCaret is an open-source Python library that automates machine learning model training, comparison, and deployment with minimal code.

PostgresML provides open-source PostgreSQL extensions that allow users to train and run machine learning models directly inside the database using SQL commands.

PaddlePaddle provides an open-source deep learning framework for building, training, and deploying AI models across various domains.

Optuna is an open-source Python library for automated hyperparameter optimization, helping machine learning practitioners find the best model settings through techniques like Bayesian optimization, pruning, and distributed search.