Alternatives and similar repositories for CNN_VGG19_CUDA:

Users that are interested in CNN_VGG19_CUDA are comparing it to the libraries listed below

• md2z34 / winograd_gpu
  GPU implementation of Winograd convolution
  ☆10Updated 7 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆40Updated 6 years ago
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 5 years ago
• XiuYuLi / deepcore_source_code
  Subpart source code of of deepcore v0.7
  ☆27Updated 4 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆190Updated 5 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆70Updated 2 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆169Updated 5 years ago
• dorthyluu / cs194-winograd
  ☆26Updated 8 years ago
• younghwanoh / impl-pruning-caffemodel
  Simple pruning example using Caffe
  ☆33Updated 7 years ago
• csehydrogen / Winograd-OpenCL
  Winograd-based convolution implementation in OpenCL
  ☆28Updated 8 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 4 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 5 years ago
• IntelLabs / SkimCaffe
  Caffe for Sparse Convolutional Neural Network
  ☆238Updated 2 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 7 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated last year
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆62Updated 8 years ago
• slothkong / DNN-Pruning
  A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication
  ☆43Updated 6 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• zhuwenxi / pytorch-profiling-tool
  ☆53Updated 6 years ago
• CharlieCurry / tvm-learning
  TVM learning and research
  ☆12Updated 4 years ago
• Orion34-lanbo / tvm-batch-matmul-example
  ☆24Updated 6 years ago
• Forwil / tvmt_v2
  ☆10Updated 4 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 5 years ago
• cwlacewe / netscope
  This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope
  ☆40Updated 7 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆196Updated 2 years ago
• masahi / tvm-cutlass-eval
  ☆36Updated 2 years ago
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 6 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆41Updated 6 years ago
• pku-liang / FlexTensor
  Automatic Schedule Exploration and Optimization Framework for Tensor Computations
  ☆175Updated 2 years ago