Alternatives and similar repositories for tvm-winograd

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

• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆47Updated 6 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆159Updated 3 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• tvmai / tvmai.github.io
  Move to https://github.com/apache/incubator-tvm-site
  ☆26Updated 5 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• ARM-software / scalpel
  This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…
  ☆41Updated 7 years ago
• hessamb / lcnn
  LCNN: Lookup-based Convolutional Neural Network
  ☆52Updated 8 years ago
• zhangxinqian / example-of-nnvm-in-cpp
  An Example of MXNet Models Comilation and Deployment with NNVM in C++
  ☆16Updated 7 years ago
• zhuwenxi / pytorch-profiling-tool
  ☆54Updated 7 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆112Updated 5 years ago
• dmlc / nnvm-fusion
  Kernel Fusion and Runtime Compilation Based on NNVM
  ☆72Updated 9 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 8 years ago
• Orion34-lanbo / tvm-batch-matmul-example
  ☆24Updated 7 years ago
• VoVAllen / tf-dlpack
  DLPack for Tensorflow
  ☆35Updated 5 years ago
• spcl / ucudnn
  Accelerating DNN Convolutional Layers with Micro-batches
  ☆63Updated 5 years ago
• fpeder / espresso
  Efficient forward propagation for BCNNs
  ☆49Updated 8 years ago
• microsoft / Analysis-Framework-for-TVM
  Static analysis framework for analyzing programs written in TVM's Relay IR.
  ☆29Updated 6 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆119Updated 7 years ago
• intel / ideep
  Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.
  ☆173Updated 3 weeks ago
• XiuYuLi / flexible-gemm
  flexible-gemm conv of deepcore
  ☆17Updated 6 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆28Updated 9 years ago
• okdshin / instant
  DNN Inference with CPU, C++, ONNX support: Instant
  ☆56Updated 7 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 9 years ago
• lcskrishna / onnx-parser
  ONNX Parser is a tool that automatically generates openvx inference code (CNN) from onnx binary model files.
  ☆18Updated 7 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆92Updated 5 years ago
• masahi / torchscript-to-tvm
  ☆68Updated 2 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆193Updated 6 years ago
• anithapk / nn-compression
  ☆13Updated 8 years ago
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆95Updated 7 years ago
• AojunZhou / Efficient-Deep-Learning
  Related Paper of Efficient Deep Neural Networks
  ☆86Updated 4 years ago