opfython
Classifier library
An implementation of an optimum-path forest classifier using Python
🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.
34 stars
5 watching
17 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
classifierlibopfmachine-learningopfpython
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| gugarosa/opytimizer | An optimization library based on nature-inspired meta-heuristic algorithms. | 609 |
 serengil/chefboost | A Python library providing a lightweight framework for building decision trees with categorical feature support | 463 |
| gugarosa/nalp | A Python library for natural language processing with adversarial learning capabilities | 23 |
| gugarosa/learnergy | A Python library providing an easy-to-use implementation of energy-based machine learning algorithms. | 65 |
 sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
 fxsjy/rf.go | An implementation of Random Forest algorithm in GoLang for classification and regression tasks. | 114 |
 mustafaturan/omnicat | A framework providing a generalized strategy holder for text classification | 11 |
 oemof/oemof-solph | Generates models for energy system analysis and optimization. | 304 |
 djcp/linnaeus | A Redis-backed system for classifying documents into categories based on their content. | 38 |
 zackzikaixiao/fedgrab | A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. | 14 |
 ahmedfgad/geneticalgorithmpython | A Python library implementing a genetic algorithm for optimizing machine learning algorithms and neural networks. | 1,905 |
 gbif/pygbif | Provides a unified Python interface to the GBIF API for retrieving biodiversity data and accessing various datasets and resources. | 114 |
 yangnianzu0515/moleood | An implementation of a molecular representation learning method with substructure invariance for out-of-distribution generalization. | 61 |
 fpicetti/occamypy | A library for solving large-scale optimization problems with flexible and scalable vector and operator definitions | 55 |
 guopengf/auto-fedrl | A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. | 15 |