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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

albumentations

fast image augmentation library and easy to use wrapper around other libraries

anatomyofmatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

aws-shell

An integrated shell for working with the AWS CLI.

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bayesian-model-evaluation

Presented at Scipy Conference 2019

bertviz

Tool for visualizing BERT's attention

binderhub

Deterministically build docker images from a git repository + commit

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

challenges

character-level-cnn-pytorch

Character-level CNN for text classification

character-level-cnn-tensorflow

Character-level CNN for text classification

christmais

Text to abstract art generation for the holidays!

compare-mt

A script to compare machine translation results and extract salient features

contextual-repr-analysis

A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and Transferability of Contextual Representations", to appear at NAACL 2019.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

conversational-datasets

Datasets for conversational AI

creating-a-simple-nn-in-pytorch

A simple NN in PyTorch for the Medium article.

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231n.github.io

Public facing notes page

cso--shell-lab

This is a simple shell implementation

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

data-science--cheat-sheet

Cheat Sheets

datacamp_tutorials

datasets

A collection of datasets ready to use with TensorFlow

datasets-cmu_wilderness

CMU Wilderness Multilingual Speech Dataset