harvardnlp / genbmm
CUDA kernels for generalized matrix-multiplication in PyTorch
☆79Updated 3 years ago
Alternatives and similar repositories for genbmm:
Users that are interested in genbmm are comparing it to the libraries listed below
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Structured matrices for compressing neural networks☆66Updated last year
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆104Updated 3 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Block-sparse primitives for PyTorch☆154Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 8 months ago
- ☆49Updated 4 years ago
- Generic PyTorch implementation of einsum that supports different semirings☆47Updated 9 months ago
- ☆42Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆142Updated last year
- Efficient reservoir sampling implementation for PyTorch☆106Updated 3 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆88Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆49Updated last year
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- Fast Discounted Cumulative Sums in PyTorch☆95Updated 3 years ago
- Differentiable bitonic sorting☆140Updated 4 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Pytorch library for factorized L0-based pruning.☆45Updated last year
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Silly twitter torch implementations.☆46Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Implementation of Stochastic Beam Search using Fairseq☆102Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- ☆120Updated 5 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 3 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago