Alternatives and similar repositories for CNN_VGG19_CUDA

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

• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 6 years ago
• md2z34 / winograd_gpu
  GPU implementation of Winograd convolution
  ☆10Updated 7 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆174Updated 6 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆191Updated 6 years ago
• jack-willturner / pytorch-onnx-tvm
  PyTorch -> ONNX -> TVM for autotuning
  ☆24Updated 5 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 5 years ago
• XiuYuLi / deepcore_source_code
  Subpart source code of of deepcore v0.7
  ☆27Updated 5 years ago
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 6 years ago
• dorthyluu / cs194-winograd
  ☆26Updated 8 years ago
• CharlieCurry / tvm-learning
  TVM learning and research
  ☆13Updated 4 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 7 years ago
• nephashi / DeepCompression
  implementation of Iterative Pruning for Deep neural network [Han2015].
  ☆40Updated 6 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 2 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
  ☆237Updated 2 years ago
• ex4sperans / pruning_with_tensorflow
  I demonstrate how to compress a neural network using pruning in tensorflow.
  ☆78Updated 7 years ago
• TianzhongSong / Tensorflow-quantization-test
  Tensorflow quantization (float32-->int8) inference test
  ☆74Updated 6 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• OpenHero / im2col
  image to column
  ☆30Updated 10 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 8 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated 2 years ago
• slothkong / DNN-Pruning
  A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication
  ☆43Updated 7 years ago
• younghwanoh / impl-pruning-caffemodel
  Simple pruning example using Caffe
  ☆33Updated 7 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• jack-willturner / batchnorm-pruning
  Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
  ☆72Updated 6 years ago
• zhuwenxi / pytorch-profiling-tool
  ☆53Updated 7 years ago
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆181Updated 6 years ago