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challenge-wildfires

Starter kit for H2O.ai competition Challenge Wildfires.

Language:Jupyter NotebookApache-2.01100

BayesNewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

Language:PythonApache-2.022000

bayesian_time_series

Machine Learning models using a Bayesian approach and often PyMC3

Language:Jupyter Notebook2400

PySyft

Perform data science on data that remains in someone else's server

Language:PythonApache-2.0945400

gitignore

A collection of useful .gitignore templates

CC0-1.016153400

gonum

Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

Language:GoBSD-3-Clause100

joerd

Joerd can be used to download, merge and generate tiles from digital elevation data

Language:PythonMIT31900

windninja

A diagnostic wind model developed for use in wildland fire modeling.

Language:C++NOASSERTION11600

Planet_Sakaar_Data_Science

A colourful collection of codes and notebooks, like Planet Sakaar

Language:Jupyter NotebookMIT5500

pymc4

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Language:Jupyter NotebookApache-2.071200

prefect

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Language:PythonApache-2.01598200

textacy

NLP, before and after spaCy

Language:PythonNOASSERTION220900

aequitas

Bias Auditing & Fair ML Toolkit

Language:PythonMIT67900

zincbase

A batteries-included kit for knowledge graphs

Language:PythonMIT28300

python-patterns

A collection of design patterns/idioms in Python

Language:Python4028600

computer-science

"Under the hood" explanations of theoretical computer science concepts.

Language:JavaMIT5600

digital-data-scientist-hiring-test-powered-by-hackerrank

A few interesting data science problems along with my solutions in R and Python

Language:Python11800

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

Language:Jupyter NotebookMIT55300

vanilla-machine-learning

vanilla machine learning

Language:Jupyter Notebook10700

Bayesian_Smoothing_EyeMovement

Repository of my talk for Bayes@Lund 2017

Language:Jupyter NotebookBSD-3-Clause1100

blog-code

This repo contains the public directory which is the blog

Language:HTML700

jupyter_case_studies

Inference case studies in jupyter

Language:Jupyter Notebook9100

sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Language:JavaScriptGPL-3.033300

tips

Most commonly used git tips and tricks.

Language:JavaScriptMIT2131500

Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

Language:Jupyter Notebook248300

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Language:Jupyter NotebookMIT4288200

lectures

Oxford Deep NLP 2017 course

umap

Uniform Manifold Approximation and Projection

Language:PythonBSD-3-Clause739300

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

Language:PythonNOASSERTION1200

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Language:PythonMIT681400