scikit-learn: machine learning in Python
Repository Index
47,133 repositories indexed
1–18 of 18 · Most stars
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
- data-science
- python
- machine-learning
- pycaret
An open source python library for automated feature engineering
- feature-engineering
- machine-learning
- data-science
- automated-machine-learning
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
Pandas integration with sklearn
An intuitive library to add plotting functionality to scikit-learn objects.
Feature engineering and selection open-source Python library compatible with sklearn.
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
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
- feature-engineering
- transformers
- pre-processing
- data-science