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causality

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

courses

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

d4m.py

A D4M module for Python. D4M was developed in MATLAB by Dr Jeremy Kepner

data-science-ipython-notebooks

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.

fairness-indicators

Tensorflow's Fairness Evaluation and Visualization Toolkit

google-interview-university

A complete daily plan for studying to become a Google software engineer.

grapher

WebGL/Canvas Network Graphs

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

ipython_memory_usage

IPython tool to report memory usage deltas for every command you type

kaggle-web-traffic

1st place solution

kepler-mapper

KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.

mlviz

Visualizations of machine learning algorithms

pytda

Topological Data Analysis in Python

scikit-learn

scikit-learn: machine learning in Python

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-deepmind