Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
#计算机科学#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.
翻译 - 这不是我们都想要的吗？我们的钱去多少？那么这就是这个策略希望为你做的事情！通过给你/HyperOpt 很多信号来改变重量。
#计算机科学#Code repository for the online course Hyperparameter Optimization for Machine Learning
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...
#计算机科学#Using Kafka-Python to illustrate a ML production pipeline
#计算机科学#Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
ES6 hyperparameters search for tfjs
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
#计算机科学#🎛 Distributed machine learning made simple.
Time Series Forecasting for the M5 Competition
#计算机科学#Machine Learning Tool Box
#计算机科学#An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
#计算机科学#Bayesian Optimization for Categorical and Continuous Inputs
#计算机科学#Different hyperparameter optimization methods to get best performance for your Machine Learning Models
#计算机科学#Free automated deep learning for spreadsheets
#自然语言处理#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.
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...
