Pinned Repositories
Bayesian-Analysis-with-Python
Bayesian Analysis with Python by Packt
Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
bayespy
Bayesian Python: Bayesian inference tools for Python
CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causalinference
Causal Inference in Python
CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
css610
Exercises for GMU's CSS 610: Computational Analysis of Social Complexity
dataset-examples
Samples for users of the Yelp Academic Dataset
synth
vandith's Repositories
vandith/synth
vandith/Bayesian-Analysis-with-Python
Bayesian Analysis with Python by Packt
vandith/Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
vandith/bayespy
Bayesian Python: Bayesian inference tools for Python
vandith/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
vandith/Causalinference
Causal Inference in Python
vandith/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
vandith/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
vandith/css610
Exercises for GMU's CSS 610: Computational Analysis of Social Complexity
vandith/dataset-examples
Samples for users of the Yelp Academic Dataset
vandith/DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
vandith/dowhy
DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
vandith/ggdag
:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
vandith/grf
Generalized Random Forests
vandith/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
vandith/nn-from-scratch
Implementing a Neural Network from Scratch
vandith/notes
Course notes
vandith/notes-on-causal-inference
Some notes on Causal Inference, with examples in python
vandith/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
vandith/pscore_match
A Python package for propensity score matching
vandith/py
Repository to store sample python programs for python learning
vandith/pymatch
vandith/pymc
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
vandith/pytrends
Pseudo API for Google Trends
vandith/Q-learning
Q-learning algorithm for GSP auction.
vandith/scipy2014_tutorial
Tutorial: Bayesian Statistical Analysis in Python
vandith/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
vandith/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
vandith/vandith.github.io