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2015

CS109 Intro Data Science @ Harvard

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

adv-r

Advanced R programming: a book

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

air

⭕️ Data Engineering for Data Scientists

artificial-intelligence-and-machine-learning

Algorithm implementations and homework solutions for the Stanford's online courses

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-functional-programming

Yet another resource for collecting articles, videos etc. regarding functional programming

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-r

A curated list of awesome R frameworks, packages and software.

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

banditsbook-scala

Scala implementations of standard algorithms for Multi-Armed Bandits Problem.

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian_nonparametrics

Slides and code for Bayesian nonparametrics in R and Julia

cs-video-courses

List of Computer Science courses with video lectures.

cur-matrix-decomposition

A matlab library for CUR matrix decomposition

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

data-pipelines-with-apache-airflow

Code for Data Pipelines with Apache Airflow

data-science-is-software

data-science-python-dask

Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications

data_structures_and_algorithms_in_python

:book: Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️

dateutil

Useful extensions to the standard Python datetime features

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepgp

Deep Gaussian Processes in matlab

deepgpy

Deep GPs with GPy

deeplearning-models

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

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

diamol

Code samples for the book "Learn Docker in a Month of Lunches"

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意