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Search results for pytorch sparse

53 search results found

Pygat ⭐ 1,684

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Spconv ⭐ 1,504

Spatial Sparse Convolution Library

Torchsparse ⭐ 998

TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Pytorch_sparse ⭐ 919

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

Graph_transformer_networks ⭐ 694

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Speedtorch ⭐ 559

Library for faster pinned CPU <-> GPU transfer in Pytorch

Graphwaveletneuralnetwork ⭐ 501

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Pytorch_block_sparse ⭐ 379

Fast Block Sparse Matrices for Pytorch

The entmax mapping and its loss, a family of sparse softmax alternatives.

Sparse Depth Completion ⭐ 372

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI)

Sparse_learning ⭐ 334

Sparse learning library and sparse momentum resources.

Sparse To Dense.pytorch ⭐ 283

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

Pytorch Dnc ⭐ 258

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

Lottery Ticket Hypothesis In Pytorch ⭐ 209

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

Fenchel Young Losses ⭐ 182

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

Sinkhorn Transformer ⭐ 178

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Cca_zoo ⭐ 157

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

Codeslam ⭐ 146

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Torchkbnufft ⭐ 133

A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

A Python library for Secure and Explainable Machine Learning

Attention-guided CNN for image denoising(Neural Networks,2020)

Sparsemap ⭐ 93

SparseMAP: differentiable sparse structure inference

Torch Blocksparse ⭐ 83

Block-sparse primitives for PyTorch

Sparsemax Pytorch ⭐ 69

Implementation of Sparsemax activation in Pytorch

Synapses ⭐ 50

Variational Sparse Coding ⭐ 47

Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge

Sparse Hyper ⭐ 44

Code for the paper "Learning sparse transformations through backpropagation"

Depthcomplete ⭐ 41

Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)

Controllablevideogen ⭐ 37

Code for "Controllable Video Generation with Sparse Trajectories" in PyTorch

L0.pytorch ⭐ 37

an implementation of L0 regularization with PyTorch

Torch_sparse_solve ⭐ 34

A sparse KLU solver for PyTorch.

MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)

Denselidarnet ⭐ 29

Sdlm Pytorch ⭐ 23

Code accompanying EMNLP 2018 paper Language Modeling with Sparse Product of Sememe Experts

Implement of DiGCN, NeurIPS-2020

Sparse Text Prototype ⭐ 17

PyTorch Implementation of NeurIPS 2020 paper "Learning Sparse Prototypes for Text Generation"

Multitask Gnn ⭐ 14

Github repository for the Multitask-GNN paper

Activesparseshifts Pytorch ⭐ 14

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

Sparse_image_warp_pytorch ⭐ 14

Pytorch implementation of sparse_image_warp and an example of GoogleBrain's SpecAugment is given: A Simple Data Augmentation Method for Automatic Speech Recognition https://arxiv.org/abs/1904.08779

Pytorchsparsegat ⭐ 11

Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer

Pycp_apr ⭐ 10

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

Cosmictagger ⭐ 10

Cosmic Tagging Network for Neutrino Physics

Sparse Representation ⭐ 10

Sparse representation solvers for P0- and P1-problems

Non Negative Sparse AutoEncoder (NNSAE). An efficient online learning scheme for non-negative and sparse coding in autoencoder neural networks.

Sparse Coding ⭐ 8

An implementation of Olshausen and Field (96) in PyTorch

Torch Optim Sparse ⭐ 8

PyTorch optimizers with sparse momentum and weight decay

Embeddersdr ⭐ 8

Embedder with binary sparse distributed representation.

One stage object detection model based on YOLOv3, written in PyTorch.

Fastsparse ⭐ 6

Fastai+PyTorch implementation of sparse model training methods (SET, SNFS, RigL) + customize-your-own.

Splatnet_pytorch ⭐ 6

Unofficial partial implemention of SplatNet

Treelstm Pytorch ⭐ 5

python3 version of https://github.com/dasguptar/treelstm.pytorch

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