mfederici / torch-mist
Implementation of a PyTorch Mutual Information Estimation Toolkit
☆12Updated 9 months ago
Alternatives and similar repositories for torch-mist:
Users that are interested in torch-mist are comparing it to the libraries listed below
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Mutual information estimators and benchmark☆39Updated last week
- Difference-of-Entropies (DoE) Estimator☆25Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆33Updated 4 years ago
- An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.☆31Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 4 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆16Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆22Updated 6 months ago
- ☆22Updated last year
- Official PyTorch implementation of Hyperbolic Neural Networks++☆65Updated 3 years ago
- ☆23Updated 3 years ago
- ☆15Updated 4 months ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆20Updated 10 months ago
- Noise Contrastive Estimation (NCE) in PyTorch☆31Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 10 months ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated 9 months ago
- VAEs and nonlinear ICA: a unifying framework☆46Updated 5 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆14Updated 3 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- ☆22Updated 2 years ago
- A list of papers for group meeting☆15Updated last month
- A Tensorflow implementation Mutual Information estimation methods☆46Updated last year
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago