neurodata / df-dn-paper
Conceptual & empirical comparisons between decision forests & deep networks
☆17Updated last week
Alternatives and similar repositories for df-dn-paper:
Users that are interested in df-dn-paper are comparing it to the libraries listed below
- Multi-task regression in Python☆25Updated 4 years ago
- NeuroData's package for exploring and using progressive learning algorithms☆36Updated last week
- A large database of artificial neural network statistics during training☆15Updated 4 years ago
- ☆17Updated 6 years ago
- The Union of Intersections Framework in Python☆14Updated this week
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 4 years ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated 9 months ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆26Updated 3 years ago
- HCAE (HyperConnectome AutoEncoder) for brain state identification.☆16Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 6 months ago
- ☆29Updated 3 years ago
- Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".☆27Updated last year
- Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.☆40Updated 5 years ago
- ☆30Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- ☆14Updated 4 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications☆14Updated 4 years ago
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 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
- Random feature latent variable models in Python☆22Updated last year
- Highly Comparative Graph Analysis - Code for network phenotyping☆45Updated 9 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated 2 years ago
- A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)☆11Updated 2 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- Uncertainty in Conditional Average Treatment Effect Estimation☆30Updated 4 years ago