Alternatives and similar repositories for cs194-winograd:

Users that are interested in cs194-winograd are comparing it to the libraries listed below

• TaoHuUMD / Winograd_Convolution
  A Winograd based kernel for convolutions in deep learning framework
  ☆15Updated 7 years ago
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆180Updated 6 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 4 years ago
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 5 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 7 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆190Updated 5 years ago
• csehydrogen / Winograd-OpenCL
  Winograd-based convolution implementation in OpenCL
  ☆28Updated 8 years ago
• lyuchuny3 / Tengine_gemm_tutorial
  Tengine gemm tutorial, step by step
  ☆12Updated 4 years ago
• istoony / winograd-convolutional-nn
  I'm going to use the Winograd’s minimal filtering algorithms to introduce a new class of fast algorithms for convolutional neural networks…
  ☆12Updated 6 years ago
• JunningWu / AIChip
  Aiming at an AI Chip based on RISC-V and NVDLA.
  ☆20Updated 7 years ago
• md2z34 / winograd_gpu
  GPU implementation of Winograd convolution
  ☆10Updated 7 years ago
• hey-yahei / Quantization.MXNet
  Simulate quantization and quantization aware training for MXNet-Gluon models.
  ☆46Updated 4 years ago
• zhujingyang520 / caffe-quantization
  Added quantization layer into caffe (support a coarse level fixed point simulation)
  ☆22Updated 8 years ago
• WuDan0399 / Integrate-NVDLA-and-TVM
  ☆29Updated 2 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆70Updated 2 years ago
• XiuYuLi / flexible-gemm
  flexible-gemm conv of deepcore
  ☆17Updated 5 years ago
• atrifex / CNN-Acceleration
  Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.
  ☆54Updated 7 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆172Updated 5 years ago
• XiuYuLi / deepcore_source_code
  Subpart source code of of deepcore v0.7
  ☆27Updated 4 years ago
• FrozenGene / tvm-tutorial
  TVM tutorial
  ☆65Updated 6 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 8 years ago
• nachiket / papaa-opencl
  OpenCL Labs for PAPAA Summer School 2016 Edition
  ☆46Updated 7 years ago
• zhenhuaw-me / qnnpack
  Explained QNNPACK Implementation
  ☆20Updated 5 years ago
• lankas / SqueezeNet
  ☆39Updated 7 years ago
• slothkong / DNN-Pruning
  A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication
  ☆43Updated 6 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆156Updated 7 years ago
• xyzxinyizhang / 2018-DAC-System-Design-Contest
  ☆53Updated 5 years ago
• PannenetsF / TQT
  TQT's pytorch implementation.
  ☆21Updated 3 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated last year