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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

autoxrd

autoXRD performs Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

awesome-interpretable-machine-learning

climatechange_ai

Applying machine learning to address the problems of climate change

conditional_density_estimation

Package implementing various parametric and nonparametric methods for conditional density estimation

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

deep

deep learning

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai_notes

Notes for Andrew Ng's courses on deep learning

fipeop.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

gvp

interpret

Fit interpretable models. Explain blackbox machine learning.

learn-discrete

Graduate topics course on learning discrete latent structure.

ml

machine learning

molecule-autoencoder

A project to enable optimization of molecules by transforming them to and from a continuous representation.

multi-echelon-inventory-optimization

multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt

panknet

The official PyTorch implementation for paper "Hierarchical 3D Feature Learning for Pancreas Segmentation"

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

qbstyles

QuantumBlack Matplotlib styles

spearmint

Spearmint Bayesian optimization codebase

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

tigramite

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at