anebz / resources
Curated list of resources for various topics, articles, tutorials, etc I've found useful.
☆19Updated 2 years ago
Alternatives and similar repositories for resources
Users that are interested in resources are comparing it to the libraries listed below
Sorting:
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Companion code for a tutorial on using Hydra.☆29Updated 3 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Here we will post recitation materials.☆9Updated 5 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated last year
- ☆29Updated 6 years ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆25Updated 6 months ago
- List of python packages for causal inference☆17Updated 3 years ago
- Bayesian Bandits☆68Updated last year
- Code for blog posts.☆19Updated last year
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Documentation for dynamic machine learning systems.☆29Updated 8 months ago
- ☆12Updated 3 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 3 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆77Updated 11 months ago
- Material for my course: Optimization in Machine Learning☆31Updated 4 years ago
- Slides and Code for the first AI4People workshop on the 8.+9. August 2020.☆14Updated 3 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- A package for Safe Anytime Valid Inference☆26Updated 6 months ago
- Companion Repo for the Vision Language Modelling YouTube series - https://bit.ly/3PsbsC2 - by Prithivi Da. Open to PRs and collaborations☆14Updated 2 years ago
- This repo consists of code for plotting top loss images☆13Updated 4 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago
- ☆13Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Monitoring a PyTorch Lightning CNN with Weights & Biases☆14Updated 3 years ago