Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
-
Updated
Jan 5, 2023 - Python
#
hyperopt
Here are 45 public repositories matching this topic...
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.
python machine-learning framework crypto bitcoin trading trading-bot trading-strategies cryptocurrencies hyperopt freqtrade-strategies mgm freqtrade freqtrade-ui weighted-signals moni-go-mani freqtrade-framework
-
Updated
Mar 11, 2023 - Python
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.
-
Updated
Dec 13, 2019 - Python
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
tensorflow keras cnn hyperparameter-optimization hyperopt hyperparameters-optimization hyperparameter-tuning cnn-keras hyperparameter-search
-
Updated
May 6, 2018 - Python
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
python machine-learning optimization hyperparameter-optimization hyperopt bayesian-optimization automl blackbox-optimization multi-fidelity
-
Updated
Jan 22, 2022 - Python
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
-
Updated
Jul 19, 2018 - Python
🎛 Distributed machine learning made simple.
-
Updated
Feb 16, 2023 - Python
Machine Learning Tool Box
visualization machine-learning metrics tensorflow keras plot hyperparameter-optimization lightgbm matplotlib hyperopt metric hyperparameter-tuning gradient-boosted-trees
-
Updated
Dec 7, 2023 - Python
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
machine-learning recommender-system hyperopt hyperparameter-tuning automl automated-machine-learning hyperparameter-search surprise tpe
-
Updated
May 25, 2024 - Python
Bayesian Optimization for Categorical and Continuous Inputs
machine-learning optimization thompson-sampling hyperparameter-optimization hyperopt gaussian-processes bayesian-optimization multi-armed-bandits hyperparameter-tuning automl automated-machine-learning smac categorical-variables continuous-variable acquisition-functions gpyopt batch-bayesian-optimization
-
Updated
Jul 20, 2020 - Python
Hyperparameter tuning for FCN using Ray Tune
-
Updated
Sep 11, 2020 - Python
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
python machine-learning deep-learning scikit-learn keras feature-selection hyperparameter-optimization hyperopt bayesian-optimization logmanagement integrated-visualization
-
Updated
Jan 4, 2020 - Python
Production-grade Freqtrade fork for algorithmic trading on Hyperliquid. Multi-bot OHLCV/pairlist caching, PlateauSampler hyperopt, walk-forward with CPCV, custom hyperopt losses, liquidation detection, 32+ enhancements. Includes showcase strategies. Maintained by Freqtrade France.
python trading-bot hyperopt quantitative-finance algorithmic-trading dca backtesting mean-reversion ccxt freqtrade-strategies crypto-trading-bot optuna trend-following freqtrade perpetual-futures multi-bot hyperliquid walk-forward-analysis hyperliquid-trading freqtrade-fork
-
Updated
Jul 12, 2026 - Python
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.
-
Updated
Mar 21, 2023 - Python
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
optimization feature-extraction hyperopt hyper-parameters utrecht-university balance-strategy asreview
-
Updated
Feb 15, 2022 - Python
NYC taxi trip duration Kaggle submission using fully connected neural network
-
Updated
Mar 18, 2018 - Python
Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.
-
Updated
Oct 27, 2020 - Python
A sample workflow for classifying wetlands in Google Earth Engine. Uses data from multiple sources.
google python3 feature-selection remote-sensing hyperopt satellite-imagery google-earth-engine ray-tune spectral-indices
-
Updated
Nov 2, 2024 - Python
Improve this page
Add a description, image, and links to the hyperopt topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the hyperopt topic, visit your repo's landing page and select "manage topics."