Lists (7)
Stars
Repo for Yale Applied Empirical Methods PHD Course
Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
Slides for the Seattle University Causal Inference Class
A curated list of causal inference libraries, resources, and applications.
A collection of visual guides to help applied scientists learn causal inference.
Code for our ICLR 2024 paper "PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts"
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests"
Dictionary based sentiment analysis that considers valence shifters
DoubleML - Double Machine Learning in Python
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
asgr / imager
Forked from dahtah/imagerR package for image processing
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
Project files for a tutorial on Pillow
[BMVC2021] The first image composition assessment dataset. Used in the paper "Image Composition Assessment with Saliency-augmented Multi-pattern Pooling". Useful for image composition assessment, i…
Emotion Detection via a Deep Learning Framework
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.