hyperparameter-tuning - 技术专题

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pythondata-sciencemachine-learningdeep-learningneural-networktensorflowmachine-learning-algorithmspytorchdistributedhyperparameter-optimization

Here are 1,951 public repositories matching this topic...

nni

microsoft / nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed hyperparameter-optimization feature-engineering nas bayesian-optimization hyperparameter-tuning automl automated-machine-learning model-compression neural-architecture-search deep-neural-network mlops
  • Updated Jul 3, 2024
  • Python

amanchadha / coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization
  • Updated Jun 10, 2026
  • Jupyter Notebook

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

machine-learning deep-learning random-forest optimization genetic-algorithm machine-learning-algorithms hyperparameter-optimization artificial-neural-networks grid-search tuning-parameters bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo automl automated-machine-learning python-examples python-samples machine-learning-optimization
  • Updated Sep 22, 2022
  • Jupyter Notebook
AgileRL

AgileRL / AgileRL

Sponsor

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

python training machine-learning reinforcement-learning deep-learning deep-reinforcement-learning pytorch distributed multi-agent hyperparameter-optimization evolutionary-algorithms agents hyperparameter-tuning hpo automl mlops llm rlops agilerl
  • Updated Jul 21, 2026
  • Python
OCTIS

MIND-Lab / OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

nlp natural-language-processing hyperparameter-optimization topic-modeling nlp-library bayesian-optimization hyperparameter-tuning latent-dirichlet-allocation evaluation-metrics neural-topic-models latent-semantic-analysis topic-models hyperparameter-search non-negative-matrix-factorization nlproc
  • Updated Jun 21, 2026
  • Python
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