scikit-learn-contrib / metric-learnLinks
Metric learning algorithms in Python
☆1,428Updated last year
Alternatives and similar repositories for metric-learn
Users that are interested in metric-learn are comparing it to the libraries listed below
Sorting:
- A scikit-learn based module for multi-label et. al. classification☆953Updated last year
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆505Updated 4 years ago
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,279Updated 2 years ago
- ML-Ensemble – high performance ensemble learning☆860Updated 2 years ago
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,914Updated last year
- Tuning hyperparams fast with Hyperband☆596Updated 7 years ago
- Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave☆1,646Updated 2 years ago
- Hyper-parameter optimization for sklearn☆1,648Updated 7 months ago
- open-source feature selection repository in python☆1,558Updated last year
- ☆712Updated 2 years ago
- Train AI models efficiently on medical images using any framework☆1,875Updated last year
- scikit-learn compatible projects☆410Updated 7 months ago
- ☆1,145Updated 2 years ago
- ☆759Updated 2 years ago
- A python wrapper for Barnes-Hut tsne☆411Updated 2 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893Updated last year
- A tutorial on the t-SNE learning algorithm☆720Updated 9 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,440Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,803Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆811Updated 3 years ago
- This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'☆1,312Updated 4 years ago
- A lightweight library for PyTorch training tools and utilities☆1,717Updated last month
- Barnes-Hut t-SNE☆917Updated 4 years ago
- Nimfa: Nonnegative matrix factorization in Python☆554Updated 4 years ago
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,560Updated 6 years ago
- pyclustering is a Python, C++ data mining library.☆1,200Updated last year
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆709Updated 8 months ago
- Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet☆624Updated 2 years ago
- A Python toolbox for gaining geometric insights into high-dimensional data☆1,874Updated 4 months ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Updated 4 years ago