puckbee's Stars
pjreddie/darknet
Convolutional Neural Networks
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
PaddlePaddle/Paddle-Lite
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)
soumith/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
facebookresearch/SparseConvNet
Submanifold sparse convolutional networks
awai54st/PYNQ-Classification
Python on Zynq FPGA for Convolutional Neural Networks
ENCP/CNNdroid
Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android
btgraham/SparseConvNet-archived
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
thu-pacman/GeminiGraph
A computation-centric distributed graph processing system.
jiaxiang-wu/quantized-cnn
An efficient framework for convolutional neural networks
in66-dev/In-Prestissimo
A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输:绝影】
xingyul/sparse-winograd-cnn
Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
weifengliu-ssslab/Benchmark_SpMV_using_CSR5
CSR5-based SpMV on CPUs, GPUs and Xeon Phi
IntelLabs/SpMP
sparse matrix pre-processing library
BUG1989/ncnn-benchmark
The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform
CCTLib/cctlib
iHeartGraph/iBFS
iBFS: Concurrent Breadth-First Search on GPUs. SIGMOD'16
puckbee/CVR
Parallelized and vectorized SpMV on Intel Xeon Phi (Knights Landing, AVX512, KNL)
pigirons/spmv
This is a tuned sparse matrix dense vector multiplication(SpMV) library
danghvu/cudaSpmv
CUDA Sparse-Matrix Vector Multiplication, using Sliced Coordinate format
ChengHuangUCAS/cvr_spmv
Implementation of Compressed Vectorization-oriented sparse Row on CPU and GPU
puckbee/PhiBench
This benchmark suite is designed and optimized for data analytics workloads Xeon Phi. It consists of CF, Kmeans, NaiveBayes, PageRank, SVM, PCA, NL-PCA and Sort.
bryancatanzaro/SpMV
arthurquinn/spmv
Algorithm for Sparse Matrix Vector Multiplication written in CUDA
sclc/spmv
spikegpu/SPMV
ashish-17/spmv
Sparse Matrix Vector Multipication
Lily418/Cuda_Convolution
An optimised 1d convolution operator running on the GPU.
roberto-hg/SpMV
vzois/spmv