scottgigante / m-phateLinks
Multislice PHATE for tensor embeddings
☆60Updated 4 years ago
Alternatives and similar repositories for m-phate
Users that are interested in m-phate are comparing it to the libraries listed below
Sorting:
- Loss Landscapes of Regularized Linear Autoencoders☆144Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆126Updated last year
- ☆29Updated 5 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- Normalizing Flows in Jax☆108Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 9 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆99Updated 3 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆107Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- ☆19Updated 3 years ago
- ☆26Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 11 months ago