Python package to standardize the names of ML-related metrics, models and losses.
MIT License
Unsupervised Language Modeling at scale for robust sentiment classification
A simple method to perform semi-supervised learning with limited data.
Extends scikit-learn with new models, transformers, metrics, plotting.
A logical, reasonably standardized, but flexible project structure for conducting ml research 🍪
Kaggle HubMap
Metric learning algorithms in Python
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
Implementations of the machine learning algorithm with Python and numpy
A lightweight package for some common metrics used in speech
Additional training metrics integrated with the keras NN library.
Machine learning, in numpy
Python library with helpers to speed up and structure machine learning projects.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), Mobi...
[EMNLP 2021] LM-Critic: Language Models for Unsupervised Grammatical Error Correction
An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matp...