sdrobert / pydrobert-pytorch
PyTorch utilities for ML, specifically speech
☆13Updated last year
Alternatives and similar repositories for pydrobert-pytorch:
Users that are interested in pydrobert-pytorch are comparing it to the libraries listed below
- Structured matrices for compressing neural networks☆66Updated last year
- ☆49Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 6 months ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)☆14Updated 2 months ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- ☆37Updated 5 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆79Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 6 months ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Silly twitter torch implementations.☆46Updated 2 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆21Updated 2 months ago
- ☆10Updated 3 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 3 years ago
- ☆31Updated 4 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Keras implementation of Deep Wasserstein Embeddings☆47Updated 6 years ago