Alternatives and similar repositories for ml4industry

Users that are interested in ml4industry are comparing it to the libraries listed below

• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆156Updated last week
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆172Updated 11 months ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆71Updated last year
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• jrgauthier01 / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆14Updated 6 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• lancastercmaf / FFT
  Friday Forecasting Talks materials
  ☆11Updated last year
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆193Updated last year
• sidravi1 / Blog
  ☆24Updated 5 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 9 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
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 5 years ago
• asbates / bayes-time-series
  ☆27Updated 6 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated last year
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 5 years ago
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆100Updated 3 years ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 5 years ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆75Updated last year
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 3 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 2 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆44Updated 2 weeks ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆23Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago