fliptanedo / FlipWebsite2017

Related projects ⓘ

Alternatives and complementary repositories for FlipWebsite2017

• PhilChodrow / cos_2017
  Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"
  ☆19Updated 7 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆24Updated 6 years ago
• UCIDataScienceInitiative / PredictiveModeling_withPython
  Notebooks for the Course
  ☆37Updated 7 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• t-davidson / webscraping-tutorials
  Tutorials for web scraping and crawling
  ☆11Updated 4 years ago
• VBayesLab / deepGLM
  Train deepGLM with Matlab, R and Python
  ☆27Updated last year
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 6 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• ogencoglu / causal_twitter_modeling_covid19
  Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
  ☆10Updated last year
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆25Updated 5 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• AustinRochford / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆16Updated 7 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆29Updated last year
• paul-buerkner / LFO-CV-paper
  ☆14Updated 4 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆42Updated 7 years ago
• allisonmorgan / epistemic_inequality
  Replication data and code for "Prestige drives epistemic inequality in the diffusion of scientific ideas"
  ☆14Updated 5 years ago
• icme / cme193
  Introduction to Scientific Python
  ☆14Updated 5 years ago
• georgeberry / causal-inference-intro
  A short introduction to causal inference
  ☆28Updated 5 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 5 months ago
• joelgrus / odscnet
  repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"
  ☆12Updated 7 years ago
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆17Updated 3 weeks ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 8 years ago
• AM207 / 2018fall
  ☆35Updated 3 years ago
• DiODeProject / MuMoT
  Multiscale Modelling Tool - mathematical modelling without the maths
  ☆21Updated 2 years ago
• rmgeddert / Reinforcement-Learning-Resource-Guide
  Resource Guide for learning how to simulate and model Reinforcement Learning
  ☆31Updated 4 years ago
• alan-turing-institute / templates
  Turing Beamer templates for presentations
  ☆12Updated 10 months ago