Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: hyperparameter-optimization

discovery-unicamp/Minerva

Minerva is a framework for training machine learning models for researchers.

Language: Python - Size: 236 KB - Last synced: about 6 hours ago - Pushed: about 7 hours ago - Stars: 3 - Forks: 0

shubhamsawant0601/Data_Science

Study and notes of Data Science lifecycle.

Language: Jupyter Notebook - Size: 43.6 MB - Last synced: about 5 hours ago - Pushed: about 6 hours ago - Stars: 3 - Forks: 1

automl/neps

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

Language: Python - Size: 10.1 MB - Last synced: about 8 hours ago - Pushed: 1 day ago - Stars: 35 - Forks: 9

EpistasisLab/tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language: Jupyter Notebook - Size: 5.44 MB - Last synced: about 4 hours ago - Pushed: about 8 hours ago - Stars: 151 - Forks: 22

keras-team/keras-tuner

A Hyperparameter Tuning Library for Keras

Language: Python - Size: 2.06 MB - Last synced: about 6 hours ago - Pushed: about 2 months ago - Stars: 2,830 - Forks: 384

SumanthReddyKaliki/Artificial_Intelligence_Tutorials

This repository will have all the necessary tutorials to help you learn Data Science, Machine Learning, Deep Learning and AI fundamentals

Language: Jupyter Notebook - Size: 92.8 MB - Last synced: about 7 hours ago - Pushed: about 9 hours ago - Stars: 1 - Forks: 0

SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Language: Python - Size: 30.4 MB - Last synced: about 8 hours ago - Pushed: about 9 hours ago - Stars: 492 - Forks: 41

SimonBlanke/Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Language: Python - Size: 21.1 MB - Last synced: about 8 hours ago - Pushed: about 9 hours ago - Stars: 1,115 - Forks: 77

polyaxon/cli

Polyaxon Core Client & CLI to streamline MLOps

Language: Python - Size: 4.51 MB - Last synced: about 11 hours ago - Pushed: about 12 hours ago - Stars: 19 - Forks: 17

kruize/autotune

Autonomous Performance Tuning for Kubernetes!

Language: Java - Size: 6.46 MB - Last synced: about 8 hours ago - Pushed: about 12 hours ago - Stars: 147 - Forks: 51

Hourout/linora

Simple and efficient tools for data science.

Language: Python - Size: 3.43 MB - Last synced: about 16 hours ago - Pushed: about 17 hours ago - Stars: 12 - Forks: 4

AgileRL/AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Language: Python - Size: 53.4 MB - Last synced: about 8 hours ago - Pushed: 1 day ago - Stars: 501 - Forks: 38

IBM/lale

Library for Semi-Automated Data Science

Language: Python - Size: 40.4 MB - Last synced: about 14 hours ago - Pushed: 1 day ago - Stars: 324 - Forks: 82

EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language: Python - Size: 76.1 MB - Last synced: about 16 hours ago - Pushed: 2 days ago - Stars: 9,519 - Forks: 1,546

hibayesian/awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Size: 16.8 MB - Last synced: about 5 hours ago - Pushed: 1 day ago - Stars: 3,923 - Forks: 694

optuna/optuna

A hyperparameter optimization framework

Language: Python - Size: 18.2 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 9,755 - Forks: 957

google/vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Language: Python - Size: 4.04 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 1,178 - Forks: 70

polyaxon/hypertune

A library for performing hyperparameter optimization

Language: Python - Size: 118 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 62 - Forks: 8

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 147 MB - Last synced: about 12 hours ago - Pushed: 1 day ago - Stars: 1,016 - Forks: 217

autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

Language: Python - Size: 19.7 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 7,185 - Forks: 848

reiinakano/xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Language: Python - Size: 9.03 MB - Last synced: about 7 hours ago - Pushed: almost 6 years ago - Stars: 1,267 - Forks: 106

CyberAgentAILab/cmaes

Python library for CMA Evolution Strategy.

Language: Python - Size: 388 KB - Last synced: 1 day ago - Pushed: 3 days ago - Stars: 318 - Forks: 58

MindSetLib/Insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Language: Jupyter Notebook - Size: 40.8 MB - Last synced: about 8 hours ago - Pushed: about 9 hours ago - Stars: 18 - Forks: 3

hrntsm/Tunny

🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.

Language: C# - Size: 5.35 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 43 - Forks: 8

aimclub/iOpt

Framework of intelligent optimization methods iOpt

Language: Python - Size: 49.9 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 43 - Forks: 22

mlr-org/mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

Language: R - Size: 7.13 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 51 - Forks: 5

mehdidc/codeopt

hyper-parameter optimization directly from code

Language: Python - Size: 18.6 KB - Last synced: 4 days ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0

microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Language: Jupyter Notebook - Size: 162 MB - Last synced: 4 days ago - Pushed: 13 days ago - Stars: 3,696 - Forks: 488

deephyper/deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Language: Python - Size: 42.6 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 263 - Forks: 60

sigopt/sigopt-server

Open Source version of SigOpt API, performing hyperparameter optimization and visualization

Language: Python - Size: 6.17 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 33 - Forks: 5

amir-9473/Hyperparameter-Tuning-of-Machine-Learning

Hyperparameter Optimization for Pima Indians Diabetes Machine Learning Classification using Optuna in Python.

Language: Jupyter Notebook - Size: 562 KB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 1 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 235 KB - Last synced: 5 days ago - Pushed: over 1 year ago - Stars: 1,255 - Forks: 298

telekom/mltb2

Machine Learning Toolbox 2

Language: Python - Size: 3.51 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 8 - Forks: 2

xadrianzetx/optuna-distributed

Distributed hyperparameter optimization made easy

Language: Python - Size: 190 KB - Last synced: 5 days ago - Pushed: 6 days ago - Stars: 25 - Forks: 0

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Language: Python - Size: 123 MB - Last synced: 3 days ago - Pushed: 10 days ago - Stars: 274 - Forks: 70

optuna/optuna-dashboard

Real-time Web Dashboard for Optuna.

Language: TypeScript - Size: 12.7 MB - Last synced: 7 days ago - Pushed: 8 days ago - Stars: 455 - Forks: 82

automl/HpBandSter

a distributed Hyperband implementation on Steroids

Language: Python - Size: 7.17 MB - Last synced: 4 days ago - Pushed: over 1 year ago - Stars: 604 - Forks: 112

automl/HPOBench

Collection of hyperparameter optimization benchmark problems

Language: Python - Size: 736 KB - Last synced: about 2 hours ago - Pushed: 22 days ago - Stars: 125 - Forks: 34

MIND-Lab/OCTIS

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

Language: Python - Size: 168 MB - Last synced: 6 days ago - Pushed: 5 months ago - Stars: 688 - Forks: 91

cog-imperial/entmoot

Multiobjective black-box optimization using gradient-boosted trees

Language: Python - Size: 932 KB - Last synced: 5 days ago - Pushed: 12 days ago - Stars: 50 - Forks: 11

microsoft/nni

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

Language: Python - Size: 127 MB - Last synced: 8 days ago - Pushed: 9 days ago - Stars: 13,778 - Forks: 1,805

mljar/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Language: Python - Size: 9.49 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2,923 - Forks: 381

microsoft/CoML

Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

Language: Python - Size: 12.6 MB - Last synced: 8 days ago - Pushed: 20 days ago - Stars: 58 - Forks: 11

optuna/optuna-examples

Examples for https://github.com/optuna/optuna

Language: Python - Size: 3.03 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 600 - Forks: 165

JuliaAI/MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Language: Julia - Size: 585 KB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 66 - Forks: 12

aggarwalpiush/Hyperparameter-Optimization-Tutorial

Hyperparameter-Optimization-Tutorial

Language: Jupyter Notebook - Size: 476 KB - Last synced: 10 days ago - Pushed: almost 6 years ago - Stars: 3 - Forks: 0

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.2 MB - Last synced: 9 days ago - Pushed: 2 months ago - Stars: 313 - Forks: 36

mathewsrc/AWS-Machine-Learning-Engineer-Capstone

This project aims to train three classification models (LogisticRegression, DecisionTree and RandomForest) using AWS SageMaker to classify customer churn from a database obtained from kaggle.com.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced: 10 days ago - Pushed: about 1 year ago - Stars: 0 - Forks: 1

klieret/ray-tune-slurm-demo

Testing ray tune with slurm batch submission and optuna and wandb

Language: Python - Size: 235 KB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 5 - Forks: 1

klieret/ray-tune-stoppers-contrib

Additional stoppers for ray tune

Language: Python - Size: 117 KB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 1 - Forks: 0

mlr-org/bbotk

Black-box optimization framework for R.

Language: R - Size: 20.2 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 19 - Forks: 9

HunterMcGushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Language: Python - Size: 7.27 MB - Last synced: 8 days ago - Pushed: over 3 years ago - Stars: 702 - Forks: 103

bharathgs/Awesome-Distributed-Deep-Learning

A curated list of awesome Distributed Deep Learning resources.

Size: 53.7 KB - Last synced: 1 day ago - Pushed: over 2 years ago - Stars: 388 - Forks: 82

microsoft/archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Language: Python - Size: 50.2 MB - Last synced: 10 days ago - Pushed: 5 months ago - Stars: 457 - Forks: 90

awslabs/syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Language: Python - Size: 13.5 MB - Last synced: 9 days ago - Pushed: 12 days ago - Stars: 365 - Forks: 49

wywongbd/autocluster

AutoML for clustering models in sklearn.

Language: Python - Size: 143 MB - Last synced: 12 days ago - Pushed: over 1 year ago - Stars: 54 - Forks: 19

holgern/scikit-optimize

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

Language: Python - Size: 19.7 MB - Last synced: 4 days ago - Pushed: about 2 months ago - Stars: 5 - Forks: 1

jungtaekkim/bayeso

Simple, but essential Bayesian optimization package

Language: Python - Size: 5.19 MB - Last synced: 5 days ago - Pushed: 16 days ago - Stars: 89 - Forks: 7

owenodriscoll/AutoML

Python package for automated hyperparameter-optimization of common machine-learning algorithms

Language: Python - Size: 2.94 MB - Last synced: 13 days ago - Pushed: 14 days ago - Stars: 2 - Forks: 0

Epistimio/orion

Asynchronous Distributed Hyperparameter Optimization.

Language: Python - Size: 49.2 MB - Last synced: 13 days ago - Pushed: 5 months ago - Stars: 281 - Forks: 52

leopard-ai/betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Language: Python - Size: 2.84 MB - Last synced: 8 days ago - Pushed: 3 months ago - Stars: 323 - Forks: 28

DLR-RM/rl-baselines3-zoo

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

Language: Python - Size: 3.72 MB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 1,787 - Forks: 469

scicloj/scicloj.ml

A Clojure machine learning library

Language: Clojure - Size: 5.07 MB - Last synced: 14 days ago - Pushed: 4 months ago - Stars: 200 - Forks: 13

Purushothaman-natarajan/Yoga_Pose-Image-Classification

This repository offers a robust solution for multilabel image classification. Utilizing advanced neural networks like VGG16, VGG19, ResNet50, InceptionV3, DenseNet121, and MobileNetV2, the project achieves precise classification across 107 diverse categories.

Language: HTML - Size: 1.04 MB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 1 - Forks: 1

Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

Language: Python - Size: 25.9 MB - Last synced: 12 days ago - Pushed: 8 months ago - Stars: 207 - Forks: 42

project-codeflare/codeflare

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced: 4 days ago - Pushed: 8 months ago - Stars: 216 - Forks: 36

bhattbhavesh91/tpot-tutorial

TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. In this video, I'll show you how you can use TPOT for Classification.

Language: Jupyter Notebook - Size: 51.8 KB - Last synced: 16 days ago - Pushed: almost 3 years ago - Stars: 2 - Forks: 2

bhattbhavesh91/svm-c-gamma-hyperparameters-tutorial

In this video, I'll try to explain the hyperparameters C & Gamma in Support Vector Machine (SVM) in the simplest possible way.

Language: Jupyter Notebook - Size: 146 KB - Last synced: 16 days ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 1

eigenein/rust-hyperopt

Tree-of-Parzen-estimators hyperparameter optimization

Language: Rust - Size: 108 KB - Last synced: 16 days ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

StephanAkkerman/crypto-forecasting-benchmark

This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.

Size: 161 MB - Last synced: 16 days ago - Pushed: about 1 month ago - Stars: 8 - Forks: 5

ray-project/ray

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.

Language: Python - Size: 375 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 30,888 - Forks: 5,218

aquemy/DOLAP_2019_supplementary_material

Supplementary material for DOLAP 2019 submission

Size: 5.04 MB - Last synced: 16 days ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

sile/tpe

A TPE (Tree-structured Parzen Estimator) implementation in Rust

Language: Rust - Size: 40 KB - Last synced: 15 days ago - Pushed: over 2 years ago - Stars: 26 - Forks: 3

yashrajjain726/Deep-Learning-Hands-On-Practice

Some Topic Based Deep Learning Task

Language: Jupyter Notebook - Size: 160 MB - Last synced: 16 days ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

jmejia8/hypertuning-examples

This repository contains some examples of the HyperTuning a Julia package for the automated hyperparameter tuning.

Language: Julia - Size: 29.3 KB - Last synced: 16 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

JeremieGince/MNIST_classification_using_Quantum_Machine_Learning

Project for McGill Physics Hackathon 2020

Language: Python - Size: 9.53 MB - Last synced: 16 days ago - Pushed: over 3 years ago - Stars: 13 - Forks: 0

benchopt/benchmark_bilevel

Benchmark for bi-level optimization solvers

Language: Python - Size: 291 KB - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 29 - Forks: 6

openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

Language: Scala - Size: 3.23 MB - Last synced: 16 days ago - Pushed: 17 days ago - Stars: 71 - Forks: 3

autonomio/talos

Hyperparameter Experiments with TensorFlow and Keras

Language: Python - Size: 3.07 MB - Last synced: 15 days ago - Pushed: 26 days ago - Stars: 1,617 - Forks: 270

solegalli/hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

Language: Jupyter Notebook - Size: 5.36 MB - Last synced: 16 days ago - Pushed: 20 days ago - Stars: 103 - Forks: 172

SarodYatawatta/smart-calibration

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

Language: Python - Size: 5.28 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 5 - Forks: 0

maxpumperla/hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Language: Python - Size: 758 KB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 2,169 - Forks: 320

DataCanvasIO/Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Language: Python - Size: 17.8 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 261 - Forks: 40

araffin/rl-baselines-zoo

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

Language: Python - Size: 367 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 1,112 - Forks: 205

ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

Language: Python - Size: 1.38 MB - Last synced: 5 days ago - Pushed: over 3 years ago - Stars: 1,638 - Forks: 312

Hasnat-Aarif-Aslam/Pipelining-How-to-Create-Pipelines-in-Machine-Learning

Pipeline creation using Pipeline and make_pipeline along with ColumnTransformer and an Estimator

Language: Jupyter Notebook - Size: 136 KB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 0 - Forks: 0

scikit-optimize/scikit-optimize 📦

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

Language: Python - Size: 8.99 MB - Last synced: 19 days ago - Pushed: 3 months ago - Stars: 2,725 - Forks: 544

cankocagil/Neural-Networks

Neural Networks, Deep Learning, Computer Vision, Natural Language Processing, Python

Language: Jupyter Notebook - Size: 25.3 MB - Last synced: 19 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

MolecularAI/QSARtuna

QSARtuna: QSAR model building with the optuna framework

Language: Jupyter Notebook - Size: 77.4 MB - Last synced: 12 days ago - Pushed: 24 days ago - Stars: 44 - Forks: 7

ches-001/metatune

Search for a model and corresponding hyperparameters that best model your data

Language: Python - Size: 249 KB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 8 - Forks: 4

antbartash/australian_rain

HPO for DNN and other ML algorithms

Language: Jupyter Notebook - Size: 9.63 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 0 - Forks: 0

brunodifranco/project-rossmann-sales

Predicting Rossmann sales six weeks in advance. Feel free to access the Telegram Bot in the link below.

Language: Jupyter Notebook - Size: 17.5 MB - Last synced: 20 days ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

Adeemy/end-to-end-ml

An end-to-end ML project for tabular data.

Language: Jupyter Notebook - Size: 15.6 MB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 2 - Forks: 0

d2l-ai/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language: Python - Size: 303 MB - Last synced: 20 days ago - Pushed: 26 days ago - Stars: 21,703 - Forks: 4,109

mlr-org/mlrMBO

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Language: R - Size: 77.5 MB - Last synced: 17 days ago - Pushed: 8 months ago - Stars: 186 - Forks: 49

williamFalcon/test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Language: JavaScript - Size: 1.45 MB - Last synced: about 20 hours ago - Pushed: almost 2 years ago - Stars: 735 - Forks: 75

DataCanvasIO/HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Language: Python - Size: 7.61 MB - Last synced: 19 days ago - Pushed: about 2 months ago - Stars: 245 - Forks: 26

jmejia8/HyperTuning.jl

HyperTuning: Automated hyperparameter tuning in Julia.

Language: Julia - Size: 742 KB - Last synced: 15 days ago - Pushed: 11 months ago - Stars: 14 - Forks: 0

oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

Size: 5.61 MB - Last synced: 15 days ago - Pushed: 7 months ago - Stars: 20 - Forks: 1

guan-yuan/awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Size: 150 KB - Last synced: 3 days ago - Pushed: almost 3 years ago - Stars: 827 - Forks: 160

Related Keywords
hyperparameter-optimization 753 machine-learning 346 hyperparameter-tuning 178 python 158 deep-learning 138 data-science 91 automl 88 bayesian-optimization 71 optimization 71 scikit-learn 61 tensorflow 55 random-forest 51 pytorch 51 classification 49 feature-engineering 48 neural-networks 46 optuna 45 keras 45 neural-network 45 genetic-algorithm 40 xgboost 38 hyperparameter-search 36 cross-validation 33 machine-learning-algorithms 30 logistic-regression 30 automated-machine-learning 28 exploratory-data-analysis 28 convolutional-neural-networks 28 sklearn 28 hyperopt 26 neural-architecture-search 25 deep-neural-networks 24 model-selection 23 python3 23 gridsearchcv 22 pandas 22 hyperparameters 20 data-visualization 20 regression 20 reinforcement-learning 20 feature-selection 20 gaussian-processes 19 optimization-algorithms 19 natural-language-processing 19 jupyter-notebook 18 evolutionary-algorithms 18 lightgbm 18 random-search 18 tuning 17 image-classification 17 transfer-learning 15 numpy 15 hpo 15 grid-search 15 mlops 15 ml 14 eda 14 cnn 14 gradient-boosting 14 decision-trees 14 computer-vision 14 artificial-intelligence 14 time-series 13 parameter-tuning 13 clustering 13 random-forest-classifier 12 matplotlib 12 svm-classifier 12 decision-tree-classifier 11 linear-regression 11 data-analysis 11 particle-swarm-optimization 11 visualization 11 blackbox-optimization 11 ensemble-learning 11 regularization 11 keras-tensorflow 10 tuning-parameters 10 differential-evolution 10 regression-models 10 svm 10 data-preprocessing 10 knn 10 r 10 nlp 9 tabular-data 9 meta-learning 9 black-box-optimization 9 confusion-matrix 9 time-series-analysis 9 image-processing 9 deep-reinforcement-learning 9 ai 9 distributed 9 architecture-search 8 knn-classification 8 pipeline 8 kaggle 8 optimizer 8 hyperparameter 8