Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
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Updated
Jan 5, 2023 - Python
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
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.
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Allstate Kaggle Competition ML Capstone Project
Using Kafka-Python to illustrate a ML production pipeline
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.
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
🎛 Distributed machine learning made simple.
Time Series Forecasting for the M5 Competition
Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.
Machine Learning Tool Box
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.
Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'
Machine learning and Deep Learning Hackathon Solutions
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
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