Alternatives and similar repositories for cs194-winograd

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

• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆193Updated 6 years ago
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆181Updated 7 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 8 years ago
• csehydrogen / Winograd-OpenCL
  Winograd-based convolution implementation in OpenCL
  ☆28Updated 8 years ago
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 6 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆112Updated 5 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 2 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆182Updated 6 years ago
• TaoHuUMD / Winograd_Convolution
  A Winograd based kernel for convolutions in deep learning framework
  ☆15Updated 8 years ago
• FrozenGene / tvm-tutorial
  TVM tutorial
  ☆66Updated 6 years ago
• JunningWu / AIChip
  Aiming at an AI Chip based on RISC-V and NVDLA.
  ☆21Updated 7 years ago
• TianzhongSong / Tensorflow-quantization-test
  Tensorflow quantization (float32-->int8) inference test
  ☆76Updated 7 years ago
• xyzxinyizhang / 2018-DAC-System-Design-Contest
  ☆53Updated 6 years ago
• WuDan0399 / Integrate-NVDLA-and-TVM
  ☆33Updated 2 years ago
• lyuchuny3 / Tengine_gemm_tutorial
  Tengine gemm tutorial, step by step
  ☆13Updated 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 7 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 8 years ago
• jndeng / DACSDC-DeepZ
  Proposed solution of team DeepZ for 2018 DAC System Design Contest
  ☆25Updated 7 years ago
• hey-yahei / Quantization.MXNet
  Simulate quantization and quantization aware training for MXNet-Gluon models.
  ☆45Updated 5 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 5 years ago
• md2z34 / winograd_gpu
  GPU implementation of Winograd convolution
  ☆10Updated 8 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆118Updated 7 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.
  ☆55Updated 8 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 8 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆248Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆264Updated 2 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 6 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 6 years ago
• dicecco1 / fpga_caffe
  ☆119Updated 8 years ago