Visual analysis and diagnostic tools to facilitate machine learning model selection.
The selection management companion for ngRepeat
Case studies on model assessment, model selection and inference after model selection
An efficient way of selecting the right machine learning model
Model selection for Text classification (compare ML and DL algo)
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Anomaly detection for streaming time series, featuring automated model selection.
MT-DREAM(ZS) algorithm for model optimization, calibration, selection
Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
MACS – a new SPM toolbox for model assessment, comparison and selection
Simulation, Bayesian inference and Bayesian model selection for chemical kinetics in Julia
Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection
Ticket seat selection
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Novel Decomposing Model with Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs
A curated selection of blog posts on Go
Emacs incremental completion and selection narrowing framework