Alternatives and similar repositories for pytorch-profiling-tool

Users that are interested in pytorch-profiling-tool are comparing it to the libraries listed below

• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆73Updated 7 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 6 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 6 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆126Updated 6 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆157Updated 3 years ago
• borisgin / nvcaffe
  ☆45Updated 2 years ago
• adityaiitb / pyprof2
  PyProf2: PyTorch Profiling tool
  ☆82Updated 4 years ago
• AojunZhou / Efficient-Deep-Learning
  Related Paper of Efficient Deep Neural Networks
  ☆86Updated 3 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• fpeder / espresso
  Efficient forward propagation for BCNNs
  ☆50Updated 7 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 4 years ago
• szha / mxnet-jit-batch
  Just-in-time Dynamic Batching with MXNet Gluon.
  ☆52Updated 5 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆107Updated 8 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆151Updated 7 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 8 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆63Updated 9 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 6 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 5 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 5 years ago
• tensorpack / benchmarks
  Use TensorFlow efficiently
  ☆95Updated 4 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated 2 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 5 years ago
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 6 years ago
• McDonnell-Research-Lab / 1-bit-per-weight
  Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…
  ☆36Updated 5 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• yiwenguo / Dynamic-Network-Surgery
  Caffe implementation for dynamic network surgery.
  ☆186Updated 7 years ago
• pytorch / extension-script
  Example repository for custom C++/CUDA operators for TorchScript
  ☆114Updated 2 years ago