hyperopt

There are 2 repositories under hyperopt topic.

maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
hyperopt keras hyperparameter-optimization
Language:Python 2170
MoniGoMani
Rikj000 / MoniGoMani
Isn't that what we all want? Our money to go many? Well that's what this framework/strategy hopes to do for you! By giving you & HyperOpt a lot of signals to alter the weights from.
freqtrade freqtrade-strategies freqtrade-ui python cryptocurrencies trading-bot trading-strategies weighted-signals hyperopt machine-learning mgm framework moni-go-mani freqtrade-framework bitcoin trading crypto
Language:Python 997
flytxtds / AutoGBT
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
automl concept-drift hyperopt lifelong-ml nips-2018
Language:Python 113
auto-flow / ultraopt
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
hyperopt hyperparameter-optimization optimization automl blackbox-optimization multi-fidelity bayesian-optimization python machine-learning
Language:Python 109
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.
hyperopt hyperparameter-optimization hyperparameter-tuning hyperparameters-optimization hyperparameter-search keras cnn cnn-keras tensorflow
Language:Python 106
hyperparameter-optimization
solegalli / hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
hyperparameter-optimization machine-learning python data-science optuna scikit-optimize hyperopt
Language:Jupyter Notebook 105
jrzaurin / ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
hyperopt hyperparameter-optimization kafka-python lightgbm machine-learning mlflow
Language:Jupyter Notebook 102
dnkirill / allstate_capstone
Allstate Kaggle Competition ML Capstone Project
xgboost mlp hyperopt kaggle udacity capstone neural-network tutorial data-science machine-learning keras keras-tutorials notebook cudnn
Language:Jupyter Notebook 80
atanasster / hyperparameters
ES6 hyperparameters search for tfjs
hyperparameters hyperopt tensorflow tfjs es6 javascript tensorflowjs
Language:JavaScript 60
JonnoFTW / traffic-prediction
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
hyperas hyperopt lstm traffic-prediction experimental
Language:Python 53
ml-tooling / lazycluster
🎛 Distributed machine learning made simple.
cluster dask distributed-computing hyperopt machine-learning python ssh
Language:Python 50
mofc-demand-forecast
aldente0630 / mofc-demand-forecast
Time Series Forecasting for the M5 Competition
time-series-analysis kats altair gluonts prophet deepar vector-autoregression tsfresh lightgbm hyperopt demand-forecasting
Language:Jupyter Notebook 39
ISG-Siegen / Auto-Surprise
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
hyperopt hyperparameter-tuning automl recommender-system surprise machine-learning hyperparameter-search automated-machine-learning tpe
Language:Python 26
PhilipMay / mltb
Machine Learning Tool Box
hyperopt lightgbm machine-learning metrics plot keras tensorflow gradient-boosted-trees hyperparameter-optimization hyperparameter-tuning matplotlib visualization metric
Language:Python 26
Apaezmx / simplifai
Free automated deep learning for spreadsheets
bottle csv tensorflow deep-learning python keras hyperopt automated-machine-learning
Language:JavaScript 18
nphdang / Bandit-BO
Bayesian Optimization for Categorical and Continuous Inputs
bayesian-optimization categorical-variables continuous-variable thompson-sampling gaussian-processes automated-machine-learning hyperparameter-optimization batch-bayesian-optimization acquisition-functions multi-armed-bandits machine-learning hyperparameter-tuning gpyopt hyperopt smac automl optimization
Language:Python 18
Davisy / Hyperparameter-Optimization-Techniques
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
machine-learning hyperparameter-optimization grid-search random-search hyperopt
Language:Jupyter Notebook 17
EsterHlav / Quantitative-Comparison-NLP-Embeddings-from-GloVe-to-RoBERTa
Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.
bayesian-optimization bert elmo embeddings flair glove hyperopt natural-language-processing pytorch roberta senteval seq2seq transformer transformer-xl word2vec
Language:Jupyter Notebook 17
Home-Credit-Default-Risk-Recognition
abhishekdbihani / Home-Credit-Default-Risk-Recognition
The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
auc-roc-curve auc-roc-score automated-feature-engineering automl bayesian-optimization binary-classification f1-score feature-engineering feature-selection featuretools hyperopt hyperparameter-optimization hyperparameter-tuning imbalanced-data k-fold-cross-validation lightgbm loan-default-prediction scikit-learn udacity-machine-learning-nanodegree xgboost
Language:Jupyter Notebook 16
raphant / lazyft
A convenient FreqTrade wrapper-library that makes it easy to develop algorithmic trading strategies.
finance freqtrade python backtest cryptocurrency hyperopt library
Language:Python 14
genfifth / cvopt
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
scikit-learn integrated-visualization feature-selection hyperparameter-optimization hyperopt machine-learning logmanagement bayesian-optimization keras deep-learning python
Language:Python 13
himanshurawlani / hyper_fcn
Hyperparameter tuning for FCN using Ray Tune
hyperparameter-tuning ray-tune hyperopt fcn tensorflow
Language:Python 13
renardeinside / e2e-mlops-demo
E2E MLOps with Databricks
azure databricks hyperopt mlops
Language:Python 13
njnmco / hopticulate
Reticulate wrapper for hyperopt
r hyperparameter-optimization hyperopt reticulate
Language:R 11
yassineAlouini / hyperparameters-optimization
The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar
hyperparameters-optimization hyperopt
Language:Jupyter Notebook 11
MahtabShaan / autoencoder-as-feature-extractor-CIFAR-10
CIFAR-10 image classification of imbalanced data using bottleneck features extracted from the autoencoder.
autoencoders unet-keras imbalanced-data feature-extraction hyperopt
Language:Jupyter Notebook 10
PaulEmmanuelSotir / NYC_TaxiTripDuration
NYC taxi trip duration Kaggle submission using fully connected neural network
deep-learning kaggle hyperopt tensorflow floydhub taxi
Language:Python 8
asreview-hyperopt
asreview / asreview-hyperopt
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
utrecht-university hyperopt hyper-parameters feature-extraction balance-strategy optimization asreview
Language:Python 7
farazmah / hyperparameter
Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.
lightgbm xgboost hyperopt hyperparameter-optimization hyperparameter-tuning hyperparameter
Language:Python 7
MBKraus / Hyperopt
Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'
hyperopt randomsearch gridsearch
Language:Jupyter Notebook 7
ArpanSM / Machine_Learning_Hackathons
Machine learning and Deep Learning Hackathon Solutions
autokeras ocr cyclic-learning-rate lr-finder imputation hackathon data-science machine-learning deep-learning h2oai kaggle boosting nlp mice hackathons imputation-methods pycaret hyperparameter-optimization hyperopt
Language:Jupyter Notebook 6
databricks-industry-solutions / rare-event-inspection
Kakapo (KAH-kə-poh) implements a standard set of APIs for outlier detection at scale on Databricks. It provides an integration of the vast PyOD library of outlier detection algorithms with MLFlow for tracking and packaging of models and hyperopt for exploring vast, complex and heterogeneous search spaces.
anomaly-detection hyperopt mlflow outlier-detection pyod
Language:Python 6
gulabpatel / Hyper_Parameter_Optimization
We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
randomsearch-cv gridsearchcv tpot optuna hyperopt skopt
Language:Jupyter Notebook 6
Yyalexx / Predict-a-biological-response
data-analysis data-science hyperopt optuna python skillfactory sklearn
Language:Jupyter Notebook 6
yaroslav-vorobyov / SF_DST
Data Science Professional course
jupyter python matplotlib numpy pandas plotly seaborn sql psycopg2 scipy ab-testing eda machine-learning data-visualization scikit-learn hyperopt hyperparameter-optimization optuna nltk docker
Language:Jupyter Notebook 5
Yyalexx / SF-homeworks
data-analysis data-science machine-learning naive-bayes naive-bayes-classifier skillfactory sklearn hyperopt optuna comet-ml scipy shapiro tttest wilcoxon ttest
Language:Jupyter Notebook 5

hyperopt

maxpumperla / hyperas

Rikj000 / MoniGoMani

flytxtds / AutoGBT

auto-flow / ultraopt

guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100

solegalli / hyperparameter-optimization

jrzaurin / ml-pipeline

dnkirill / allstate_capstone

atanasster / hyperparameters

JonnoFTW / traffic-prediction

ml-tooling / lazycluster

aldente0630 / mofc-demand-forecast

ISG-Siegen / Auto-Surprise

PhilipMay / mltb

Apaezmx / simplifai

nphdang / Bandit-BO

Davisy / Hyperparameter-Optimization-Techniques

EsterHlav / Quantitative-Comparison-NLP-Embeddings-from-GloVe-to-RoBERTa

abhishekdbihani / Home-Credit-Default-Risk-Recognition

raphant / lazyft

genfifth / cvopt

himanshurawlani / hyper_fcn

renardeinside / e2e-mlops-demo

njnmco / hopticulate

yassineAlouini / hyperparameters-optimization

MahtabShaan / autoencoder-as-feature-extractor-CIFAR-10

PaulEmmanuelSotir / NYC_TaxiTripDuration

asreview / asreview-hyperopt

farazmah / hyperparameter

MBKraus / Hyperopt

ArpanSM / Machine_Learning_Hackathons

databricks-industry-solutions / rare-event-inspection

gulabpatel / Hyper_Parameter_Optimization

Yyalexx / Predict-a-biological-response

yaroslav-vorobyov / SF_DST

Yyalexx / SF-homeworks