Stars
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Panel: The powerful data exploration & web app framework for Python
A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM, etc....
A game theoretic approach to explain the output of any machine learning model.
GPU Accelerated t-SNE for CUDA with Python bindings
A highly efficient implementation of Gaussian Processes in PyTorch
A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.
Open a Jupyter notebook in the best available server
Missing data visualization module for Python.
Module for statistical learning, with a particular emphasis on time-dependent modelling
scikit-learn-compatible estimators from Civis Analytics
A library of extension and helper modules for Python's data analysis and machine learning libraries.
A garden for scikit-learn compatible trees
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Deep Learning Meetup in Austin, TX
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Framework for building complex recurrent neural networks with Keras
Sequential model-based optimization with a `scipy.optimize` interface
Neural network visualization toolkit for keras
Ready to use implementations of various Deep Learning algorithms using TensorFlow.