hyperparameter-search

There are 75 repositories under hyperparameter-search topic.

  • 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.

    Language:Python39.7k48121.8k6.9k
  • wandb

    wandb/wandb

    The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

    Language:Python10.5k593.7k795

  • automl/auto-sklearn

    Automated Machine Learning with scikit-learn

    Language:Python8k2091k1.3k
  • determined

    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.

    Language:Go3.2k78392370

  • scikit-optimize/scikit-optimize

    Sequential model-based optimization with a `scipy.optimize` interface

    Language:Python2.8k61647554
  • rl-baselines3-zoo

    DLR-RM/rl-baselines3-zoo

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

    Language:Python2.6k21262574
  • SMAC3

    automl/SMAC3

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

    Language:Python1.2k36607240
  • rl-baselines-zoo

    araffin/rl-baselines-zoo

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

    Language:Python1.2k3086209
  • OCTIS

    MIND-Lab/OCTIS

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

    Language:Python78913108116
  • Neuraxle

    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.

    Language:Python6141831763

  • IBM/lale

    Library for Semi-Automated Data Science

    Language:Python346196284
  • sherpa

    sherpa-ai/sherpa

    Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

    Language:JavaScript342105853

  • datarobot/syftr

    syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

    Language:Python320426724

  • MattKleinsmith/pbt

    Population Based Training (in PyTorch with sqlite3). Status: Unsupported

    Language:Python16211925

  • 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.

    Language:Python1079275

  • rmccorm4/Tiny-Imagenet-200

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

    Language:Python1054230

  • logicalclocks/maggy

    Distribution transparent Machine Learning experiments on Apache Spark

    Language:Python9182014

  • vthorey/benderopt

    Black-box optimization library

    Language:Jupyter Notebook87886

  • ISG-Siegen/Auto-Surprise

    An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:

    Language:Python29152

  • ChristophAlt/tuna

    Hyperparameter search for AllenNLP - powered by Ray TUNE

    Language:Python28302

  • ksachdeva/scikit-nni

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

    Language:Python25103
  • sambo

    sambo-optimization/sambo

    🎯 📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No deps—SOTA perfomance.

    Language:Python24240

  • holgern/scikit-optimize

    Sequential model-based optimization with a `scipy.optimize` interface

    Language:Python22444

  • Koldim2001/MLflow_tracking

    Использование MLflow для трекинга экспериментов PyTorch и Sklearn

    Language:Jupyter Notebook221010

  • edong6768/Malet

    🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot making.

    Language:Python17101

  • hyeonsangjeon/Hyperparameters-Optimization

    Hyperparameters-Optimization

    Language:Jupyter Notebook17203

  • ahundt/sharpDARTS

    sharpDARTS: Faster and More Accurate Differentiable Architecture Search

    Language:Python15314

  • daniegr/OpenFPL

    The accurate openly available forecasting method for Fantasy Premier League

    Language:Jupyter Notebook11031

  • floydhub/hyperparameters-search-examples

    Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/

    Language:Jupyter Notebook11506

  • jonzia/NeuralNetStudio

    Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).

    Language:MATLAB10103

  • ealcobaca/mlglass

    We share in this repository some codes and data used during our research about glass property prediction and the design of new glasses.

    Language:Jupyter Notebook9302

  • ihamdi/Covid-xRay-Classification

    Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models

    Language:Python8200

  • imoneoi/xrl-script

    Efficient AutoRL script for any framework

    Language:Python6200

  • JLX0/llm-automl

    Automate machine learning tasks at the code level with LLMs and autoML | Based on the TMLR paper "Large Language Models Synergize with Automated Machine Learning"

    5100

  • mert-byrktr/PSO-Hyperparameter-Selection

    Hyperparameter selection on machine learning models using Particle Swarm Optimization

    Language:Python5100

  • Senmumu/ray_project_doc

    ray project 中文文档

    Language:Python5211