hyperopt topic

Machine Learning Tool Box

PhilipMay

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.

Rikj000

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

maxpumperla

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

guillaume-chevalier

Allstate Kaggle Competition ML Capstone Project

dnkirill

ES6 hyperparameters search for tfjs

atanasster

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

auto-flow

Using Kafka-Python to illustrate a ML production pipeline

jrzaurin

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') fr...

flytxtds

Time Series Forecasting for the M5 Competition

aldente0630