Alternatives and similar repositories for cs194-winograd

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

• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 7 years ago
• 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
  ☆181Updated 6 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 2 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆191Updated 6 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
  ☆111Updated 5 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
• md2z34 / winograd_gpu
  GPU implementation of Winograd convolution
  ☆10Updated 7 years ago
• lyuchuny3 / Tengine_gemm_tutorial
  Tengine gemm tutorial, step by step
  ☆13Updated 4 years ago
• FrozenGene / tvm-tutorial
  TVM tutorial
  ☆66Updated 6 years ago
• hey-yahei / Quantization.MXNet
  Simulate quantization and quantization aware training for MXNet-Gluon models.
  ☆46Updated 5 years ago
• WuDan0399 / Integrate-NVDLA-and-TVM
  ☆30Updated 2 years ago
• JunningWu / AIChip
  Aiming at an AI Chip based on RISC-V and NVDLA.
  ☆20Updated 7 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 4 years ago
• XiuYuLi / deepcore_source_code
  Subpart source code of of deepcore v0.7
  ☆27Updated 4 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• MingliSun / MLIR-TVM
  ☆13Updated 5 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 years ago
• nachiket / papaa-opencl
  OpenCL Labs for PAPAA Summer School 2016 Edition
  ☆46Updated 7 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.
  ☆53Updated 8 years ago
• TianzhongSong / Tensorflow-quantization-test
  Tensorflow quantization (float32-->int8) inference test
  ☆74Updated 6 years ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆174Updated 6 years ago
• tpoisonooo / chgemm
  symmetric int8 gemm
  ☆66Updated 5 years ago
• CharlieCurry / tvm-learning
  TVM learning and research
  ☆13Updated 4 years ago
• AI-performance / embedded-ai.bench
  benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
  ☆204Updated 4 years ago
• jack-willturner / pytorch-onnx-tvm
  PyTorch -> ONNX -> TVM for autotuning
  ☆24Updated 5 years ago