maxwshen / iap-cidlLinks
Causal Inference & Deep Learning, MIT IAP 2018
☆89Updated 7 years ago
Alternatives and similar repositories for iap-cidl
Users that are interested in iap-cidl are comparing it to the libraries listed below
Sorting:
- Code for "Neural causal learning from unknown interventions"☆103Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- ☆87Updated 5 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆62Updated 5 years ago
- ☆29Updated 6 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- ☆124Updated 4 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆343Updated 5 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆42Updated 2 years ago
- ☆143Updated 7 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 11 months ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆129Updated 2 years ago
- python code for kernel methods☆39Updated 6 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Deep Markov Models☆132Updated 6 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- ☆40Updated 6 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆416Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago