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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

aciccomp

Code to run submissions for the Atlantic Causal Inference Competition

adversarial_gmm

Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis

aioe

all-python-codes-of-ztm-course-by-andrei-neagoie

annotated-transformer

An annotated implementation of the Transformer paper.

awesome-neural-trees

Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bayesian-cyclegan

Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

bda_course_aalto

Bayesian Data Analysis course at Aalto

bda_py_demos

Bayesian Data Analysis demos for Python

bda_r_demos

Bayesian Data Analysis demos for R

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

causal-bert-pytorch

Pytorch implementation of "Adapting Text Embeddings for Causal Inference"

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

causality4nlp_papers

A reading list for papers on causality for natural language processing (NLP)

causalml-teaching

This repository consolidates my teaching material for "Causal Machine Learning".

causaltoolbox

causaltree

Working repository for Causal Tree and extensions

chatgpt-data-science-prompts

A repository of 60 useful data science prompts for ChatGPT

cheapml

Machine Learning algorithms coded from scratch

cmu-ideel.github.io

11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cppprimer

:books: C++ Primer 5 exercise answers.

crossestimation

High-dimensional regression adjustments in randomized experiments

deconfounder_public

deconfounder_tutorial

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

deep-learning-in-cloud

List of Deep Learning Cloud Providers

deepgmm