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Projects in Awesome Lists tagged with hyperparameter-search

A curated list of projects in awesome lists tagged with hyperparameter-search .

https://github.com/ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

automl data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search java llm-serving machine-learning model-selection optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow

Last synced: 16 Dec 2024

https://github.com/determined-ai/determined

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

data-science deep-learning distributed-training hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras kubernetes machine-learning ml-infrastructure ml-platform mlops pytorch tensorflow

Last synced: 16 Dec 2024

https://github.com/dlr-rm/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

deep-reinforcement-learning gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments pytorch reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters

Last synced: 21 Dec 2024

https://github.com/DLR-RM/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

deep-reinforcement-learning gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments pytorch reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters

Last synced: 12 Nov 2024

https://github.com/araffin/rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters openai openai-gym optimization pybullet reinforcement-learning rl stable-baselines zoo

Last synced: 15 Dec 2024

https://github.com/neuraxio/neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn

Last synced: 15 Dec 2024

https://github.com/Neuraxio/Neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn

Last synced: 05 Nov 2024

https://github.com/guillaume-chevalier/hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

cnn cnn-keras hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters-optimization keras tensorflow

Last synced: 16 Nov 2024

https://github.com/rmccorm4/tiny-imagenet-200

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

anaconda convolutional-neural-networks hyperparameter-search imagenet python tiny-imagenet tiny-imagenet200

Last synced: 29 Oct 2024

https://github.com/nomadic-ml/nomadic

Nomadic is an enterprise-grade toolkit for teams to continuously optimize compound AI systems

agents application compound-ai-systems data evaluation fine-tuning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning llms rag

Last synced: 26 Sep 2024

https://github.com/ksachdeva/scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

automl hyperparameter-search hyperparameters neural-network-intelligence nni scikit-learn scikit-learn-api sklearn sklearn-library tool

Last synced: 10 Oct 2024

https://github.com/koldim2001/mlflow_tracking

Использование MLflow для трекинга экспериментов PyTorch и Sklearn

classification deep-learning hyperparameter-search local-server mlflow mlflow-pytorch mlflow-sklearn mlflow-tracking-server

Last synced: 10 Nov 2024

https://github.com/aidos-lab/embedeq

Determining hyperparameter equivalency classes for dimensionality reduction algorithms based on the topology of the embedding space.

dimensionality-reduction hyperparameter-search persistent-homology topological-data-analysis

Last synced: 10 Nov 2024

https://github.com/fabiangroeger96/wandb-callbacks

Additional Callbacks for Weights & Biases to monitor your models even better :mag_right:

callback experiment-track hyperparameter-search keras machine-learning tensorflow weights-and-biases

Last synced: 12 Dec 2024

https://github.com/edoaltamura/vikhlinin

A specialized repository for fitting the Vikhlinin model to galaxy cluster density profiles.

data-science fitting-algorithm galaxy-clusters hyperparameter-search

Last synced: 09 Nov 2024