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.
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Parallel computing with task scheduling
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
An open source python library for automated feature engineering
Visual analysis and diagnostic tools to facilitate machine learning model selection.
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.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
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.