BGU-CS-VIL / GFNCPLinks
Consistent Amortized Clustering via Generative Flow Networks
☆11Updated 4 months ago
Alternatives and similar repositories for GFNCP
Users that are interested in GFNCP are comparing it to the libraries listed below
Sorting:
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Updated 2 years ago
- Official PyTorch implementation for our ICML 2023 paper, Regularization-free Diffeomorphic Temporal Alignment Nets.☆22Updated last year
- "Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]☆18Updated 11 months ago
- Python wrapper for the DPMMSubCluster Julia package for inference in Dirichlet Process Mixture Models (High Performance Machine Learning …☆20Updated 2 years ago
- SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images (ECCV 2024)☆20Updated last month
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆68Updated 7 months ago
- "Variational- and Metric-based Deep Latent Space for Out-of-Distribution Detection" [Dinari and Freifeld, UAI 2022]☆9Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- ☆10Updated last year
- ☆32Updated 2 years ago
- Official reference implementation of dynamics contrastive learning (DCL).☆17Updated this week
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆79Updated 3 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Repository dedicated to Quaternion Neural Networks☆38Updated 3 years ago
- Code for Hidden Markov Nonlinear ICA☆24Updated 3 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 9 years ago
- ☆25Updated last year
- IVON optimizer for neural networks based on variational learning.☆68Updated 7 months ago
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆17Updated 5 months ago