Alternatives and similar repositories for web-data

Users that are interested in web-data are comparing it to the libraries listed below

• dlsys-course / examples
  Example codes appears in lectures
  ☆23Updated 3 years ago
• hclhkbu / dlbench
  Benchmarking State-of-the-Art Deep Learning Software Tools
  ☆171Updated 8 years ago
• burness / mxnet-101
  The code to learn mxnet
  ☆60Updated 8 years ago
• dlsys-course / assignment2-2018
  (Spring 2018) Assignment 2: Graph Executor with TVM
  ☆124Updated 7 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
• onnx / onnx-mxnet
  ONNX model format support for Apache MXNet
  ☆96Updated 6 years ago
• yuruofeifei / mms
  MXNet Model Serving
  ☆25Updated 8 years ago
• Orion34-lanbo / tvm-batch-matmul-example
  ☆24Updated 7 years ago
• dmlc / MXNet.cpp
  C++ interface for mxnet
  ☆115Updated 8 years ago
• ikhlestov / tensorflow_profiling
  Scripts with example usage of tensorflow profiler
  ☆83Updated 8 years ago
• dlsys-course / assignment2-2017
  (Spring 2017) Assignment 2: GPU Executor
  ☆63Updated 8 years ago
• strin / gemm-android
  tutorial to optimize GEMM performance on android
  ☆51Updated 9 years ago
• szha / mxnet-jit-batch
  Just-in-time Dynamic Batching with MXNet Gluon.
  ☆52Updated 5 years ago
• zhangxinqian / example-of-nnvm-in-cpp
  An Example of MXNet Models Comilation and Deployment with NNVM in C++
  ☆16Updated 7 years ago
• neopenx / Dragon
  Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.
  ☆175Updated 7 years ago
• mkolod / mxnet_seq2seq
  Simple MXNet sequence-to-sequence model (neural machine translation)
  ☆24Updated 7 years ago
• PerfXLab / embedded_ai
  ☆209Updated 7 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 7 years ago
• dmlc / mxnet-memonger
  Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets
  ☆307Updated 8 years ago
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆95Updated 7 years ago
• L1aoXingyu / mxnet-tutorial
  my simple tutorial for mxnet, a fast deep learning framework
  ☆103Updated 7 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• Maratyszcza / caffe-nnpack
  Caffe with NNPACK integration
  ☆59Updated 9 years ago
• Yangqing / caffe2
  This is currently an experimental refactoring of Caffe.
  ☆95Updated 7 years ago
• songhan / SqueezeNet-Residual
  residual-SqueezeNet
  ☆155Updated 6 years ago
• hariag / mxnet-multi-task-example
  a mxnet multi-task tutorial
  ☆33Updated 9 years ago
• tensorpack / benchmarks
  Use TensorFlow efficiently
  ☆96Updated 4 years ago
• KeyKy / mobilenet-mxnet
  mobilenet-mxnet
  ☆145Updated 7 years ago
• dnouri / cuda-convnet
  My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.
  ☆259Updated 10 years ago
• mli / cvpr17
  CVPR 2017 Tutorial
  ☆329Updated 8 years ago