SethEBaldwin / mdscudaLinks
CUDA implementation of Multidimensional Scaling
☆15Updated 4 years ago
Alternatives and similar repositories for mdscuda
Users that are interested in mdscuda are comparing it to the libraries listed below
Sorting:
- STEEX: Steering Counterfactual Explanations with Semantics☆21Updated 2 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Updated 4 years ago
- CO-Optimal Transport☆42Updated 5 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆73Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Updated 3 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆47Updated 4 years ago
- This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.☆35Updated 2 years ago
- Implementation of Deep evidential regression paper☆58Updated 5 years ago
- ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension☆67Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Automatic differentiation through persistence diagrams with PyTorch☆18Updated last year
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 4 years ago
- ☆31Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆106Updated 11 months ago
- Python-based persistent homology algorithms☆19Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.☆128Updated last month
- ☆12Updated 5 years ago
- The official codebase for Predictive Inference with Feature Conformal Prediction☆36Updated 2 years ago
- Implementation of CPF clustering method.☆10Updated 9 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆50Updated 7 months ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Deep Batch Active Learning for Regression☆73Updated last year
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆45Updated 5 years ago
- Deep learning made topological.☆91Updated last year
- An implementation of Denoising Variational AutoEncoder with Topological loss☆32Updated 5 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago