jupyter_notebook

neubig/lowresource-nlp-bootcamp-2020

neubig/lowresource-nlp-bootcamp-2020

May 21, 2020

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
udacity/DSND_Term2

udacity/DSND_Term2

May 20, 2020

Contains files related to content and project of DSND Term 2
AIZOOTech/FaceMaskDetection

AIZOOTech/FaceMaskDetection

May 18, 2020

Detect faces and determine whether people are wearing mask.
denisyarats/drq

denisyarats/drq

May 18, 2020

DrQ: Data regularized Q
Kodemannen/Bayesian-Inference-and-Machine-Learning

Kodemannen/Bayesian-Inference-and-Machine-Learning

May 18, 2020

Using Bayesian regression and Bayesian convolutional neural net on data from simulations of the Ising model
MishaLaskin/rad

MishaLaskin/rad

May 18, 2020

RAD: Reinforcement Learning with Augmented Data
shala2020/shala2020.github.io

shala2020/shala2020.github.io

May 16, 2020

Lectures and notes for a summer course on DS, ML, and AI
cyrildiagne/instagram-3d-photo

cyrildiagne/instagram-3d-photo

May 15, 2020

A Chrome extension that adds a 3d photo effect to instagram pages.
krittikaiitb/tutorials

krittikaiitb/tutorials

May 13, 2020

Set of Jupyter Notebooks, along with datafiles, to get started with Scientific Computing in Astronomy
pycaret/pycaret

pycaret/pycaret

May 13, 2020

An open source, low-code machine learning library in Python
areed1192/sigma_coding_youtube

areed1192/sigma_coding_youtube

April 11, 2020

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
kunalj101/Data-Science-Hacks

kunalj101/Data-Science-Hacks

April 11, 2020

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
google/automl

google/automl

April 10, 2020

Google Brain AutoML
JohnSnowLabs/spark-nlp-workshop

JohnSnowLabs/spark-nlp-workshop

April 10, 2020

Public runnable examples of using John Snow Labs' NLP for Apache Spark.
k-sys/covid-19

k-sys/covid-19

April 10, 2020

A collection of work related to COVID-19
COGS108/Lectures-Sp20

COGS108/Lectures-Sp20

April 9, 2020

Lecture Files - Spring 2020
karpathy/micrograd

karpathy/micrograd

April 9, 2020

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
firmai/deltapy

firmai/deltapy

April 7, 2020

DeltaPy - Tabular Data Augmentation
hyeshik/sars-cov-2-transcriptome

hyeshik/sars-cov-2-transcriptome

April 7, 2020

Supplemental code for "the architecture of SARS-CoV-2 transcriptome" paper
justmarkham/scikit-learn-tips

justmarkham/scikit-learn-tips

April 6, 2020

:robot::zap: Daily scikit-learn tips
datadesk/california-coronavirus-data

datadesk/california-coronavirus-data

April 5, 2020

The Los Angeles Times' independent tally of coronavirus cases in California.
hugobowne/COVID-19-EDA-tutorial

hugobowne/COVID-19-EDA-tutorial

April 5, 2020

This tutorial's purpose is to introduce people to the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE and how to explore it using some foundational packages in the Scientific Python Data Science stack.