Hypersearch Alternatives

Hyperparameter optimization for PyTorch.
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Alternatives To kevinzakka/hypersearch
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ray-project/ray 29,596 80 363 over 2 years ago 95 December 04, 2023 3,528 apache-2.0 Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
d2l-ai/d2l-en 20,613 0 0 over 2 years ago 2 November 13, 2022 115 other Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
microsoft/nni 13,536 8 27 over 2 years ago 55 September 14, 2023 342 mit Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
autogluon/autogluon 9,843 0 14 5 months ago 1,168 December 10, 2023 299 apache-2.0 Python
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optuna/optuna 9,176 26 425 over 2 years ago 59 October 17, 2023 88 other Python
A hyperparameter optimization framework
wandb/wandb 7,760 39 622 over 2 years ago 266 December 05, 2023 1,040 mit Python
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
polyaxon/polyaxon 3,438 4 12 over 2 years ago 418 December 09, 2023 122 apache-2.0
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
determined-ai/determined 2,715 0 1 over 2 years ago 221 April 24, 2021 142 apache-2.0 Go
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
automl/Auto-PyTorch 2,158 0 0 over 2 years ago 5 November 23, 2021 71 apache-2.0 Python
Automatic architecture search and hyperparameter optimization for PyTorch
DLR-RM/rl-baselines3-zoo 1,640 0 2 over 2 years ago 18 November 17, 2023 54 mit Python
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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