smalley's Stars
webpack/webpack
A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
certbot/certbot
Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
lukehoban/es6features
Overview of ECMAScript 6 features
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ssloy/tinyrenderer
A brief computer graphics / rendering course
fivethirtyeight/data
Data and code behind the articles and graphics at FiveThirtyEight
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
cs231n/cs231n.github.io
Public facing notes page
drivendata/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
nytimes/covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
ipython-contrib/jupyter_contrib_nbextensions
A collection of various notebook extensions for Jupyter
deepmind/learning-to-learn
Learning to Learn in TensorFlow
YosysHQ/picorv32
PicoRV32 - A Size-Optimized RISC-V CPU
AileenNielsen/TimeSeriesAnalysisWithPython
michalmalik/osx-re-101
A collection of resources for OSX/iOS reverse engineering.
justmarkham/DAT8
General Assembly's 2015 Data Science course in Washington, DC
hdl-util/hdmi
Send video/audio over HDMI on an FPGA
google/mr4c
ilanschnell/bitarray
efficient arrays of booleans for Python
developmentseed/landsat-util
A utility to search, download and process Landsat 8 satellite imagery
szagoruyko/diracnets
Training Very Deep Neural Networks Without Skip-Connections
ianozsvald/data_science_delivered
Observations from Ian on successfully delivering data science products
accellera-official/systemc
SystemC Reference Implementation
pebble/rockyjs
JS Powered Pebbles in Your Browser
barbagroup/numba_tutorial_scipy2016
Numba tutorial materials for Scipy 2016
datadesk/lapd-crime-classification-analysis
A Los Angeles Times analysis of serious assaults misclassified by LAPD