rish-16 / nam-pytorchLinks
Unofficial PyTorch implementation of Neural Additive Models (NAM) by Agarwal, et al.
☆14Updated 4 years ago
Alternatives and similar repositories for nam-pytorch
Users that are interested in nam-pytorch are comparing it to the libraries listed below
Sorting:
- Contrastive neighbor embeddings☆54Updated 3 months ago
- Explaining dimensionality results using SHAP values☆54Updated 4 months ago
- A Python package for intrinsic dimension estimation☆89Updated last month
- Repo for open sourcing the NAMs.☆25Updated 4 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 9 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Implementation of Low Distortion Local Eigenmaps and several variations of it☆17Updated 6 months ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated 11 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Implementations of growing and pruning in neural networks☆22Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆14Updated 4 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- ☆33Updated 3 weeks ago
- ☆51Updated 10 months ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆41Updated last month
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Data Twinning☆24Updated 2 years ago
- Noise-Contrastive Visualization☆55Updated last year
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆72Updated 2 years ago
- ☆23Updated 3 years ago
- ☆13Updated 4 months ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆140Updated 2 years ago
- Differentiable Euler Characteristic Transform☆17Updated 11 months ago
- Quickest way to share everything about your research within a single app☆38Updated 7 months ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."☆27Updated 2 years ago
- TARDIS: Topological Algorithms for Robust DIscovery of Singularities☆42Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year