sudiptodip15 / CCMILinks
Classifier based mutual information, conditional mutual information estimation; conditional independence testing
☆35Updated 6 years ago
Alternatives and similar repositories for CCMI
Users that are interested in CCMI are comparing it to the libraries listed below
Sorting:
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Time-Contrastive Learning☆67Updated 7 years ago
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆104Updated 4 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆61Updated 2 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Mutual Information Neural Entropic Estimation☆26Updated 2 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆89Updated 3 years ago
- Testing methods for estimating KL-divergence from samples.☆69Updated this week
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated last year
- ☆121Updated 3 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- Contrastive Learning for Time Series☆40Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- Variational Inference in Gaussian Mixture Model☆61Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆23Updated 2 months ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- ☆91Updated 2 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- ☆23Updated 3 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆70Updated 3 years ago