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Search results for gpu sparse

38 search results found

Taichi ⭐ 24,217

Productive & portable high-performance programming in Python.

Sparse_attention ⭐ 1,002

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

Blocksparse ⭐ 903

Efficient GPU kernels for block-sparse matrix multiplication and convolution

Speedtorch ⭐ 559

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

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Relational Gcn ⭐ 484

Keras-based implementation of Relational Graph Convolutional Networks

Deepmvs ⭐ 293

DeepMVS: Learning Multi-View Stereopsis

Finitediff.jl ⭐ 221

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

LSH-GPU ANN package

Bilateralnn ⭐ 61

Learning Sparse High Dimensional Filters with Neural Networks

A C++ Math Library Based on CUDA

Fortran interfaces for ROCm libraries

A library of GPU kernels for sparse matrix operations.

Deepneuralnet Qsar ⭐ 39

Sparse 3D FFT library with MPI, OpenMP, CUDA and ROCm support

Sparse matrix computation library for GPU

Sdm Framework ⭐ 30

A Sparse Distributed Memory Framework.

Framework for Sparse Non-linear Least Squares Optimization on a GPU

Geometricconvolutionsbench ⭐ 29

Cusparse.jl ⭐ 21

Julia interface to NVIDIA's CUSPARSE library

Merge Spmm ⭐ 21

Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018

Ia Spgemm ⭐ 21

An Input-aware Auto-tuning Framework for Parallel Sparse Matrix-Matrix Multiplication

Parallel Tensor Infrastructure (ParTI!)

Tf Sparse Fit ⭐ 14

A library implementing various linear sparse fitting techniques. Uses Tensorflow for running on GPU.

Implementation of condnets

Tjungblut Math ⭐ 13

My personal math library

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.

best CPU/GPU sparse solver for large sparse matrices

Psblas3 Ext ⭐ 8

spGPU library for sparse linear algebra on GPUs

Heinetgpu ⭐ 7

Hierarchical extension of EInet on the GPU

Github page for SSDFA

Caffe Escoin ⭐ 6

Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs

Liblinear.gpu ⭐ 5

Port of liblinear-multicore to the GPU by using CUDA

Sparse symmetric indefinite solver implemented with a runtime system

Sparseoptimizationpack ⭐ 5

Implementations of algorithms for sparse optimization in Matlab and C (for GPU and MPI)

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