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Name: SuperUltimateGreatAugmentedNumerousObsolete-NoUser
Type: User
SuperUltimateGreatAugmentedNumerousObsolete-NoUser's Projects
baby-steps-of-rl-ja
Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード
book
bsj_ss2017
cic-ml-workshop
CIC machine learning workshop
conf-scripts
my various config files
course-v3
The 3rd edition of course.fast.ai
coursera_python
Coursera python for everybody
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
covid19-japan-reff
cs50x
edX CS50
darui.io
My personal website だるい's source repository.
dataanalysis
The lecture slides for Coursera's Data Analysis class
datasciencectacontent
repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera
datasciencemasterclass
Discover the Data Science Masterclass repository! Learn Python, stats, ML, DL, NLP, MLOps, cloud, and more. Join our batch for hands-on projects and expert guidance. Unlock the power of data today!
datasciencewithpractical
Learn Statistics, Probablity, Python from scratch, Machine Learning, DeepLearning and NLP
deep-learning-boot-camp
A community run, 5-day PyTorch Deep Learning Bootcamp
demo-it
An Emacs package for running demonstrations and presentations from within Emacs.
dungeons-and-idlers
A browser game that explores dungeons by turning over cards
dungeons-and-parties-2
(Write later)
eeg-datasets
A list of all public EEG-datasets
emacs-anywhere
Configurable automation + hooks called with application information
emacs-lisp-stat
Data Analysis by Emacs Lisp
emacs-lisp-stat-attitude
Data Analysis by Emacs Lisp
emvaders
Space Invader Game for Emacs Lisp.
fastbook
Draft of the fastai book
gapminder
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
getdata-002
For the "Getting and Cleaning Data" course in the Data Science Specialization
gundam-emacs
A shooting game by Emacs Lisp with smooth background scroll. Version 0.10
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
hawaiidata
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