zhangxjohn

AutoML_Studio

DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

HyperGBM

A full pipeline AutoML tool for tabular data

HyperKeras

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

HyperTS

LLM-Agent-Benchmark-List

A banchmark list for evaluation of large language models.

optuna-learn

Tuning hyper-parameters based on Optuna is as easy as using scikit-learn.

Reversible-Instance-Normalization

Implementation of RevIN is based on TF2.Keras and PyTorch.

TimeSeries_Studio

Time Series in Here.

zhangxjohn/LLM-Agent-Benchmark-List

A banchmark list for evaluation of large language models.

zhangxjohn/Reversible-Instance-Normalization

Implementation of RevIN is based on TF2.Keras and PyTorch.

zhangxjohn/TimeSeries_Studio

Time Series in Here.

zhangxjohn/AutoML_Studio

zhangxjohn/DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

zhangxjohn/HyperGBM

A full pipeline AutoML tool for tabular data

zhangxjohn/HyperKeras

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

zhangxjohn/Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

zhangxjohn/HyperTS

zhangxjohn/optuna-learn

Tuning hyper-parameters based on Optuna is as easy as using scikit-learn.

zhangxjohn/python-patterns

A collection of design patterns/idioms in Python

zhangxjohn/YLearn

YLearn, a pun of "learn why", is a python package for causal inference