Alternatives and similar repositories for FlipWebsite2017

Users that are interested in FlipWebsite2017 are comparing it to the libraries listed below

• UCIDataScienceInitiative / PredictiveModeling_withPython
  Notebooks for the Course
  ☆37Updated 8 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 8 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago
• paul-buerkner / LFO-CV-paper
  ☆14Updated 5 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 7 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆43Updated 6 years ago
• rstats-gsoc / gsoc2018
  R project in Google Summer of Code 2018
  ☆82Updated 7 years ago
• StatProofBook / StatProofBookTools
  Tools for The Book of Statistical Proofs
  ☆95Updated last month
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆32Updated 2 years ago
• eafpres / time_series_analysis
  Review of time series using regression and neural network methods
  ☆33Updated 7 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• svmiller / course-website
  This is a Jekyll template, patterned off my main Jekyll template, for organizing a course website and hosting it on Github.
  ☆44Updated 6 years ago
• allisonmorgan / epistemic_inequality
  Replication data and code for "Prestige drives epistemic inequality in the diffusion of scientific ideas"
  ☆14Updated 7 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆69Updated 7 years ago
• ColCarroll / quantile_dotplot
  Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)
  ☆18Updated 5 years ago
• lydiatliu / delayedimpact
  Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)
  ☆14Updated 3 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• ORIE4741 / demos
  Demos and tutorials for ORIE 4741
  ☆34Updated 4 years ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆157Updated last month
• activatedgeek / distillpub
  Hugo Theme for Distill
  ☆32Updated 6 years ago