A general purpose recommender metrics library for fair evaluation.
Las características principales de astrazeneca/rexmex son: General Machine Learning, Data Processing and Analysis, Data Science Tooling, Data Science Tools.
Las alternativas de código abierto para astrazeneca/rexmex incluyen: cleanlab/cleanlab — Cleanlab is a data-centric AI library and toolkit designed to improve machine learning model performance by detecting… astrazeneca/chemicalx — A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022). benedekrozemberczki/karateclub — Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020). benedekrozemberczki/littleballoffur — Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020). adrotog/pandasgui — A GUI for Pandas DataFrames. alteryx/featuretools — Featuretools is an automated feature engineering library and data transformation framework written in Python. It…
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Cleanlab is a data-centric AI library and toolkit designed to improve machine learning model performance by detecting label errors and increasing overall dataset quality. It implements a confident learning framework that iteratively refines label noise estimates by comparing model predictions with estimated label probabilities to identify mislabeled examples. The project provides specialized utilities for active learning optimization, allowing for the selection of the most impactful examples for labeling or re-labeling. It also includes an outlier detection tool to identify atypical data poin