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Machine Learning Toolkit

A curated list of the best machine learning tools - with simple explanations.
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Type of Tool

Algorithm Libraries

Task Orchestration

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Task Orchestration

Argo

Run your data pipelines on Kubernetes – where each step in the workflow is a container.

Task Orchestration

Kubernetes

An open-source container-orchestration system for automating application deployment, scaling, and management.

Task Orchestration

Apache Airflow

A workflow tool to manage, schedule and monitor your data pipelines. Built by Airbnb

Modin

Modin uses Ray or Dask to speed up your pandas notebooks, scripts, and libraries.

Bokeh

A plotting library that allows making interactive charts that look good in web browsers.

vaex

Toolkit to explore your data. Great for big tabular datasets.

Task Orchestration

RAPIDS

Execute end-to-end data pipelines entirely on GPUs.

Dask

Work with data that's too big for memory – and still use pandas syntax.

Task Orchestration

Luigi

Orchestrate complex data pipelines and handle dependencies - built by Spotify.

Algorithm Libraries

PyTorch

Deep learning framework. Backed by Facebook.

Matplotlib

The starting point for plotting in Python.

Algorithm Libraries

spaCy

Makes advanced NLP tasks, like Part of Speach Tagging and Named Entitiy Recognition easy.

Model Interpretability

LIME

Explain the predictions of any machine learning model by training it locally around the prediction.

Datashader

Helps visualising large datasets.

Holoviews

Interactive data vizuaizations.

Task Orchestration

Kubeflow

Kubeflow makes deployment of machine learning workflows on Kubernetes simple, portable and scalable.

Shiny

Make a web application for your analytic project in R.

Algorithm Libraries

XGBoost

Extremely powerful Gradient Boosting – wins many competitions.

Model Interpretability

What-If Tool

Inspect machine learning models without coding - built by People + AI Research at Google.

OpenMined

Library that extends PyTorch, TensorFlow and Keras for encrypted and privacy-preserving machine learning.

Plotly

See your data coming into life with excellent interactive plots.

Algorithm Libraries

TensorFlow

Deep Learning Library by Google.

Seaborn

Powerful, simple and very pretty plots. More fun than Matplotlib.

Model Interpretability

ELI5

Visualize and debug various machine learning models using unified API.

Task Orchestration

mlflow

Manage machine learning lifecycle in one platform from experimentation to deployment.

Streamlit

Easily build interactive data apps in Python.

Dash

Create a web-based dashboard – In Python or R.

Algorithm Libraries

scikit-learn

The place to start for all things Machine Learning.

Algorithm Libraries

gensim

Powerful and simple topic modeling and natural language processing

Hadoop

Distributed data storage and processing tool to handle large volumes of data.

Algorithm Libraries

NLTK

The starting point for all things natural language processing.

Spark

Distributed data processing to handle big data workloads with in-memory caching.

Pandas

Universal tool to manipulate tabular data in Python.

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