Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
- visualization
- python3
- python
- xgboost
Repository Index
47,133 repositories indexed
25–48 of 56 · Most stars
Genetic Programming in Python, with a scikit-learn inspired API
- genetic-programming
- machine-learning
- python
- scikit-learn
Python implementations of the Boruta all-relevant feature selection method.
open-source feature selection repository in python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Metric learning algorithms in Python
- python
- metric-learning
- scikit-learn
- machine-learning
Extra blocks for scikit-learn pipelines.
- scikit-learn
- machine-learning
- common-sense
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
- imagej
- scikit-image
- opencv
- simpleitk
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
PySpark + Scikit-learn = Sparkit-learn
A scikit-learn based module for multi-label et. al. classification
- classification
- scikit
- scikit-learn
- multi-label
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Simple finite element assemblers
- fem
- python
- pde
Graph Algorithms
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Improved build system generator for CPython C, C++, Cython and Fortran extensions
- python
- cpython
- c-extension
- c
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
scikit-learn inspired API for CRFsuite
Python library for multilinear algebra and tensor factorizations
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
- posthoc-comparisons
- posthoc-tests
- python
- scikit
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
Genetic feature selection module for scikit-learn