Alternatives and similar repositories for iaia-mario

Users that are interested in iaia-mario are comparing it to the libraries listed below

• oneoffcoder / hht
  Hmong History Timeline Project
  ☆12Updated 4 years ago
• vangj / spark-bbn
  A Spark API for learning Bayesian Belief Networks.
  ☆10Updated 6 years ago
• oneoffcoder / pyspark-formula
  R-like formula approach to Spark Dataframes
  ☆10Updated 4 years ago
• oneoffcoder / vagrant-boxes
  Vagrant virtual machines for VirtualBox
  ☆11Updated 4 years ago
• oneoffcoder / lightning-projects
  A repository of "Lightning Projects" that children may used to learn the fundamentals of coding in a fun, enjoyable yet effective way.
  ☆15Updated 2 years ago
• vangj / py-bbn
  Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
  ☆56Updated 5 months ago
• oneoffcoder / books
  A collection of online books for data science, computer science and coding!
  ☆77Updated last year
• ostwalprasad / LGNpy
  Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
  ☆36Updated 2 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,314Updated 3 years ago
• matchado / Misc
  ☆13Updated 5 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆290Updated last year
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated last year
• amidst / toolbox
  A Java Toolbox for Scalable Probabilistic Machine Learning
  ☆121Updated last year
• s-ramaswamy / CME-323-project
  Implementation of Minimum Spanning Trees on Apache Spark.
  ☆10Updated 10 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆570Updated last month
• pgmpy / pgmpy_notebook
  Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
  ☆384Updated 4 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• morganics / bayesianpy
  A Python SDK for building, training and querying Bayesian networks (a.k.a. belief networks), from a machine learning perspective. This wr…
  ☆24Updated 5 years ago
• mkolod / scala-data-science
  Data Science in Scala - Conf. Talk Repo
  ☆15Updated 9 years ago
• ghosthamlet / ananke
  Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…
  ☆14Updated 5 years ago
• benmiroglio / pymatch
  ☆290Updated 2 years ago
• olivkoch / intro-to-reco
  introduction class to recommendation systems
  ☆22Updated 6 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆53Updated 3 years ago
• mauro-idsia / blip
  Bayesian network Learning Improved Project
  ☆31Updated 4 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆64Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 4 years ago
• google / tfp-causalimpact
  ☆118Updated last year
• VeritoneAlpha / nlp_demo
  ☆22Updated 9 years ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆70Updated 2 years ago