mfederici / torch-mistLinks
Implementation of a PyTorch Mutual Information Estimation Toolkit
☆23Updated last year
Alternatives and similar repositories for torch-mist
Users that are interested in torch-mist are comparing it to the libraries listed below
Sorting:
- Mutual information estimators and benchmark☆56Updated 4 months ago
- Difference-of-Entropies (DoE) Estimator☆26Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- ☆24Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆21Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- VAEs and nonlinear ICA: a unifying framework☆50Updated 6 years ago
- Testing methods for estimating KL-divergence from samples.☆70Updated last week
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆20Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 4 months ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Neural Tangent Kernel Papers☆121Updated last year
- Mutual Information Neural Entropic Estimation☆26Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- Roundtrip: density estimation with deep generative neural networks☆64Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆40Updated 3 years ago
- Mutual Information Neural Estimation in Pytorch☆349Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Updated 3 months ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- ☆25Updated 2 years ago
- Official repo for Trumpets: Injective Flows for Inference and Inverse Problems☆13Updated 4 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆149Updated 6 years ago