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Projects in Awesome Lists tagged with hyperopt

A curated list of projects in awesome lists tagged with hyperopt .

https://github.com/maxpumperla/hyperas

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

hyperopt hyperparameter-optimization keras

Last synced: 19 Dec 2024

https://github.com/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.

bitcoin crypto cryptocurrencies framework freqtrade freqtrade-framework freqtrade-strategies freqtrade-ui hyperopt machine-learning mgm moni-go-mani python trading trading-bot trading-strategies weighted-signals

Last synced: 03 Nov 2024

https://github.com/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.

bitcoin crypto cryptocurrencies framework freqtrade freqtrade-framework freqtrade-strategies freqtrade-ui hyperopt machine-learning mgm moni-go-mani python trading trading-bot trading-strategies weighted-signals

Last synced: 26 Sep 2024

https://github.com/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

Last synced: 02 Nov 2024

https://github.com/solegalli/hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

data-science hyperopt hyperparameter-optimization machine-learning optuna python scikit-optimize

Last synced: 17 Dec 2024

https://github.com/jrzaurin/ml-pipeline

Using Kafka-Python to illustrate a ML production pipeline

hyperopt hyperparameter-optimization kafka-python lightgbm machine-learning mlflow

Last synced: 08 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/jonnoftw/traffic-prediction

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

experimental hyperas hyperopt lstm traffic-prediction

Last synced: 22 Oct 2024

https://github.com/ml-tooling/lazycluster

🎛 Distributed machine learning made simple.

cluster dask distributed-computing hyperopt machine-learning python ssh

Last synced: 25 Nov 2024

https://github.com/renardeinside/e2e-mlops-demo

E2E MLOps with Databricks

azure databricks hyperopt mlops

Last synced: 12 Dec 2024

https://github.com/genfifth/cvopt

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

bayesian-optimization deep-learning feature-selection hyperopt hyperparameter-optimization integrated-visualization keras logmanagement machine-learning python scikit-learn

Last synced: 13 Oct 2024

https://github.com/lewis-morris/skperopt

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

accuracy auc f1-score hyperopt hyperopt-wrapper pandas-dataframe randomsearch rmse sklearn-estimator

Last synced: 11 Nov 2024

https://github.com/dark-art108/hyperparameter-tuning-using-hyperopt

Hyperparameter Tuning done on Random Forest Classifier using Hyperopt over Pima Diabetes Dataset!!

dataset gridsearchcv hyperopt hyperparameter-tuning python3 random-forest

Last synced: 12 Nov 2024

https://github.com/chibuikeeugene/loan-amount-prediction

A machine learning program that estimates the amount of loan to be issued as seen in the dataset given. This program uses a simple hist gradient boosting regressor algorithm to estimate the likely loan user should be eligible for.

docker docker-compose evidentlyai fastapi hyperopt mlflow prefect-orchestration

Last synced: 14 Nov 2024

https://github.com/sralter/happy_customers

Predicting whether a customer is happy based on the results from a survey.

eda ensemble-classifier hyperopt lazypredict ml scikit-learn

Last synced: 17 Nov 2024

https://github.com/adityajn105/loan-prediction

It is a Data Science competition by Analytics Vidhya. Learn to do preprocessing, hypertuning etc.

classification hyperopt machine-learning preprocessing xgboost

Last synced: 15 Nov 2024

https://github.com/maxvandenhoven/deep-defect-detection

University project applying deep neural networks and automatic hyperparameter optimization to detect defects in manufactured parts

binary-classification convolutional-neural-networks deep-learning deep-neural-networks defect-detection hyperopt hyperparameter-optimization python pytorch sklearn

Last synced: 07 Nov 2024

https://github.com/timkong21/medical-appointment-no-show-prediction

A machine learning solution predicting patient no-shows in healthcare appointments. This project integrates EDA, data processing, feature engineering, and XGBoost modeling, with a workflow spanning from Snowflake data retrieval to AWS deployment (S3, SageMaker, Lambda, API Gateway), aiming to enhance appointment management in medical ERP systems.

api aws aws-lambda aws-s3 data-preprocessing data-science exploratory-data-analysis feature-engineering healthcare hyperopt hyperparameter-tuning hypothesis-testing machine-learning predictive-modeling python sagemaker snowflake sql statistical-analysis xgboost

Last synced: 12 Dec 2024