Selection — 3 881

The Python ensemble sampling toolkit for affine-invariant MCMC.

A Python Framework for Wind Energy Analysis and Prediction.

GPU-based high-performance interactive OpenGL 2D/3D data visualization library.

A web-based visualization and debugging platform for NuPIC. [Deprecated]

An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool! [Deprecated]

Pandas on PySpark (POPS).

The power of Chart.js in Jupyter Notebook.

An API for plotting in Jupyter (IPython).

Simple, realtime visualization of neural network training performance.

A data exploration platform designed to be visual, intuitive, and interactive.

Tools for exploratory data analysis in Python.

Self Organizing Map written in Python (Uses neural networks for data analysis).

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.

implementation of the hdbscan algorithm in Python - used for clustering

A python package for data exploration and data analysis. [Deprecated]

A visualization library for quick and easy generation of common plots in data analysis and machine learning.

A dashboard library for interactive visualizations using flask socketio and react.

Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes.

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters

A framework for creating analytical web applications built on top of Plotly.js, React, and Flask

A workflow engine for solving machine learning problems by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation via user-defined (Python) functions.

Debugging and visualization tool for machine learning and data science. It extensively leverages Jupyter Notebook to show real-time visualizations of data in running processes such as machine learning training.

A little logger for machine learning research. Output any object to the terminal, CSV, TensorBoard, text logs on disk, and more with just one call to logger.log().

Ignite your models into blazing-fast machine learning APIs with a modern framework.

A slightly larger, somewhat feature-complete, PyTorch-inspired, NumPy implementation of a tensor reverse-mode automatic differentiation engine.

A minimal, educational, Pythonic implementation of autograd (~100 loc).

Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, k-means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark.

Biologically-Inspired and Machine Learning Algorithms in Python. [Deprecated]

Convolutional autoencoders for 3D image/field compression applied to reduced order Data Assimilation.

Fundamentals of machine learning in python.

Interactive SVM Explorer, using Dash and scikit-learn

thinking stats 2

numpic

A gallery of interesting IPython notebooks

data-science-ipython-notebooks - Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

Sarah Palin LDA - Topic Modelling the Sarah Palin emails.