Alternatives and similar repositories for MobiRnn

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

• wkcn / mobula
  A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python
  ☆45Updated last year
• HolmesShuan / Dynamic-Network-Surgery-Caffe-Reimplementation
  Caffe re-implementation of dynamic network surgery.
  ☆18Updated 7 years ago
• deepsemantic / quantized_neural_network
  The quantization of CNN/LSTM
  ☆11Updated 8 years ago
• masahi / nnvm-vision-demo
  Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM
  ☆49Updated 7 years ago
• tvmai / tvmai.github.io
  Move to https://github.com/apache/incubator-tvm-site
  ☆26Updated 4 years ago
• songhan / SqueezeNet-Generator
  SqueezeNet Generator
  ☆31Updated 7 years ago
• AojunZhou / Efficient-Deep-Learning
  Related Paper of Efficient Deep Neural Networks
  ☆86Updated 4 years ago
• zhangxinqian / example-of-nnvm-in-cpp
  An Example of MXNet Models Comilation and Deployment with NNVM in C++
  ☆16Updated 7 years ago
• ZihaoWang / mxnet-cpp-scratch
  Some deep learning models written with mxnet and C++11.
  ☆13Updated 7 years ago
• HolmesShuan / Caffe-Computation-Graph-Optimization
  Caffe Computation Graph Optimization.
  ☆29Updated 5 years ago
• mli / dlmark
  ☆18Updated 7 years ago
• revilokeb / vgg16_batchnorm
  VGG16 architecture with BatchNorm
  ☆14Updated 8 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 6 years ago
• strin / gemm-android
  tutorial to optimize GEMM performance on android
  ☆51Updated 9 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆28Updated 9 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 8 years ago
• lifeiteng / FasterDNN
  Faster Deep Neural Networks
  ☆37Updated 7 years ago
• stanford-futuredata / tensorflow-noscope
  Computation using data flow graphs for scalable machine learning
  ☆40Updated 6 years ago
• jack-willturner / pytorch-onnx-tvm
  PyTorch -> ONNX -> TVM for autotuning
  ☆24Updated 5 years ago
• zhengwy888 / binary_ops
  ☆23Updated 9 years ago
• Zehaos / pycaffe-yolo
  YOLO reimplement in caffe, written with python layer.
  ☆13Updated 8 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• younghwanoh / impl-pruning-caffemodel
  Simple pruning example using Caffe
  ☆33Updated 7 years ago
• KleinYuan / caffe2-yolo
  Bridging caffe2 with yolo, esp on mobile devices
  ☆16Updated 8 years ago
• cxiang26 / DRL_mxnet
  reinforce learing
  ☆11Updated 7 years ago
• phunterlau / iNaturalist
  MXNet finetune baseline (res152) for iNaturalist Challenge at FGVC 2017
  ☆30Updated 8 years ago
• sookinoby / mxnet-ccn-samples
  Mxnet-cnn-samples
  ☆21Updated 8 years ago
• rzhu3 / YellowFin_MXNet
  auto-tuning momentum SGD optimizer
  ☆23Updated 8 years ago
• LamHoCN / Depth_conv-for-mobileNet
  Depth_conv for MobileNet
  ☆30Updated 5 years ago
• Lyken17 / mxbox
  Simple, efficient and flexible vision toolbox for mxnet framework.
  ☆31Updated 7 years ago