PhilChodrow / PIC16ALinks
Course materials for PIC16A at UCLA
☆13Updated 2 years ago
Alternatives and similar repositories for PIC16A
Users that are interested in PIC16A are comparing it to the libraries listed below
Sorting:
- Code for the paper "SMACE: A New Method for the Interpretability of Composite Decision Systems", ECML 2022☆15Updated 2 years ago
- Developing efficient Bayesian phylogenetic inference methods☆12Updated 6 years ago
- NLP projects☆12Updated 4 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Updated 2 years ago
- ☆10Updated 4 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- ☆13Updated 5 years ago
- Confidence Estimates with KalmanNet☆13Updated 4 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- Official code for the paper: Invertible Neural Network for Graph Prediction☆10Updated 2 years ago
- Causal data augmentation for pretraining debiasing☆11Updated 4 years ago
- A Python library for working with and training Hidden Markov Models with Poisson emissions.☆10Updated 8 years ago
- Python book☆16Updated 9 months ago
- SSNMF models and multiplicative update methods.☆11Updated 4 months ago
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated 2 years ago
- ☆10Updated 3 years ago
- Enhanced Explainable Neural Network☆10Updated 4 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 3 years ago
- Code for nonconvex graph trend filtering☆10Updated 3 years ago
- ☆12Updated 5 years ago
- Repository for AAAI'22 paper "MLink: Linking Black-Box Models for Collaborative Multi-Model Inference".☆11Updated 2 years ago
- Duke Natural Language Processing Winter School 2020☆21Updated 6 years ago
- A comparison of some conformal quantile regression methods.☆14Updated 6 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Tensorflow implementation for the Class-wise Selective Rationalization☆14Updated 2 years ago
- ☆15Updated 3 years ago
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 4 years ago
- This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense…☆14Updated 3 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago