Alternatives and similar repositories for wincnn

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

• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆193Updated 6 years ago
• pmgysel / caffe
  Ristretto: Quantization and compression of large AI models. Author: Philipp Gysel.
  ☆288Updated last week
• zssloth / Embedded-Neural-Network
  collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
  ☆566Updated 2 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆182Updated 6 years ago
• AojunZhou / Incremental-Network-Quantization
  Caffe Implementation for Incremental network quantization
  ☆191Updated 7 years ago
• dgschwend / netscope
  Neural network visualizer and analyzer
  ☆164Updated 7 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆119Updated 7 years ago
• csehydrogen / Winograd-OpenCL
  Winograd-based convolution implementation in OpenCL
  ☆28Updated 9 years ago
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆182Updated 7 years ago
• CAS-CLab / quantized-cnn
  An efficient framework for convolutional neural networks
  ☆278Updated 2 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆250Updated last year
• hpi-xnor / BMXNet
  (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
  ☆351Updated 6 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 3 years ago
• pytorch / tvm
  TVM integration into PyTorch
  ☆456Updated 6 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆154Updated 8 years ago
• BUG1989 / caffe-int8-convert-tools
  Generate a quantization parameter file for ncnn framework int8 inference
  ☆519Updated 5 years ago
• flame / blislab
  BLISlab: A Sandbox for Optimizing GEMM
  ☆555Updated 4 years ago
• wenwei202 / caffe
  Caffe for Sparse and Low-rank Deep Neural Networks
  ☆383Updated 5 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 6 years ago
• google / gemmlowp
  Low-precision matrix multiplication
  ☆1,829Updated 2 years ago
• PaddlePaddle / Anakin
  High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.
  ☆535Updated 3 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 8 years ago
• XiuYuLi / deepcore_source_code
  Subpart source code of of deepcore v0.7
  ☆27Updated 5 years ago
• MatthieuCourbariaux / BinaryConnect
  Training Deep Neural Networks with binary weights during propagations
  ☆382Updated 9 years ago
• OAID / Caffe-HRT
  Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure frame…
  ☆269Updated 7 years ago
• facebookresearch / deepfloat
  An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
  ☆400Updated 2 years ago
• stanford-mast / nn_dataflow
  Explore the energy-efficient dataflow scheduling for neural networks.
  ☆233Updated 5 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 8 years ago
• pku-liang / FlexTensor
  Automatic Schedule Exploration and Optimization Framework for Tensor Computations
  ☆183Updated 3 years ago
• tbennun / cudnn-training
  A CUDNN minimal deep learning training code sample using LeNet.
  ☆269Updated 2 years ago