InfoWorld

Pick your Python accelerator

With lazy imports, JIT compilation, Python-generated C, or the Python-esque Mojo, it has never been easier to make Python go ...
GitHub

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation. We also release a list of papers about transfer-based attacks here. If our paper or this code is ...
Hacker

Stop Waiting: Make XGBoost 46x Faster With One Parameter Change

If you’re a machine learning practitioner, you know this scene well. You’ve spent hours wrangling data, engineering the perfect features, and carefully designing your experiment. Everything is ready.
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
C&EN

XGBMUT: Predicting the Functional Impact of Missense Mutations Using an Extreme Gradient Boost Classifier

Laboratory of Molecular Modeling and QSAR, Faculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro 21941-170, Brazil Laboratory of ...
Frontiers

Interaction Analysis Based on Shapley Values and Extreme Gradient Boosting: A Realistic Simulation and Application to a Large Epidemiological Prospective Study

SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in ...
C&EN

An Adaptive Machine Learning Strategy for Accelerating Discovery of Perovskite Electrocatalysts

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acscatal.9b05248. Python code to generate features and raw data of ...