scikit-learn-contrib / metric-learnLinks
Metric learning algorithms in Python
☆1,423Updated 10 months ago
Alternatives and similar repositories for metric-learn
Users that are interested in metric-learn are comparing it to the libraries listed below
Sorting:
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆503Updated 3 years ago
- ML-Ensemble – high performance ensemble learning☆858Updated last year
- A scikit-learn based module for multi-label et. al. classification☆938Updated last year
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,906Updated last year
- A tutorial on the t-SNE learning algorithm☆718Updated 8 years ago
- Tuning hyperparams fast with Hyperband☆594Updated 6 years ago
- Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave☆1,638Updated 2 years ago
- ☆1,139Updated 2 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,774Updated last year
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,435Updated 10 months ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- Hyper-parameter optimization for sklearn☆1,631Updated 2 months ago
- A lightweight library for PyTorch training tools and utilities☆1,700Updated 2 weeks ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- Deep Metric Learning☆782Updated 4 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆519Updated 3 years ago
- scikit-learn compatible projects☆411Updated 2 months ago
- ☆714Updated 2 years ago
- Pool-based active learning in Python☆788Updated 2 months ago
- ☆760Updated last year
- GPU Accelerated t-SNE for CUDA with Python bindings☆1,868Updated 8 months ago
- Bayesian optimization in PyTorch☆3,289Updated this week
- ThunderSVM: A Fast SVM Library on GPUs and CPUs☆1,600Updated last year
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆700Updated 3 months ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆883Updated 2 years ago
- This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'☆1,311Updated 4 years ago
- ☆1,158Updated 2 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,006Updated last week
- Simple structured learning framework for python☆667Updated 3 years ago