mfederici / torch-mistLinks
Implementation of a PyTorch Mutual Information Estimation Toolkit
☆22Updated 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☆54Updated 2 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 2 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Difference-of-Entropies (DoE) Estimator☆26Updated 3 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- ☆24Updated 4 years ago
- ☆16Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆51Updated 3 months ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆17Updated last year
- Neural Tangent Kernel Papers☆120Updated 10 months ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated 2 months ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 4 years ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆20Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Mutual Information Neural Entropic Estimation☆26Updated 2 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Testing methods for estimating KL-divergence from samples.☆69Updated 8 months ago
- Simple (and cheap!) neural network uncertainty estimation☆77Updated last month
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 6 months ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆56Updated last month
- Official repo for Trumpets: Injective Flows for Inference and Inverse Problems☆13Updated 4 years ago