Alternatives and similar repositories for tvm-cuda-int8-benchmark

Users that are interested in tvm-cuda-int8-benchmark are comparing it to the libraries listed below

• hey-yahei / Quantization.MXNet
  Simulate quantization and quantization aware training for MXNet-Gluon models.
  ☆46Updated 5 years ago
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆181Updated 6 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 2 years ago
• FrozenGene / tvm-tutorial
  TVM tutorial
  ☆66Updated 6 years ago
• tlc-pack / TLCBench
  Benchmark scripts for TVM
  ☆74Updated 3 years ago
• lyuchuny3 / Tengine_gemm_tutorial
  Tengine gemm tutorial, step by step
  ☆13Updated 4 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• CAS-CLab / CNN-Inference-Engine-Quick-View
  A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
  ☆150Updated 2 years ago
• cwlacewe / netscope
  This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope
  ☆41Updated 7 years ago
• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• CharlieCurry / tvm-learning
  TVM learning and research
  ☆13Updated 4 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• traveller59 / torch2trt
  convert torch module to tensorrt network or tvm function
  ☆88Updated 5 years ago
• tobegit3hub / tftvm
  TensorFlow and TVM integration
  ☆37Updated 5 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated last year
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆191Updated 6 years ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• Forwil / tvmt_v2
  ☆10Updated 4 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆173Updated 5 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 6 years ago
• ModelTC / pyvlova
  Yet another Polyhedra Compiler for DeepLearning
  ☆19Updated 2 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆157Updated 3 years ago
• zhujingyang520 / caffe-quantization
  Added quantization layer into caffe (support a coarse level fixed point simulation)
  ☆22Updated 8 years ago
• FrozenGene / tflite
  TFLite python API package for parsing TFLite model
  ☆12Updated 5 years ago
• jeetkanjani7 / Parallel_NMS
  Parallel CUDA implementation of NON maximum Suppression
  ☆79Updated 4 years ago
• Roll920 / ThiNet_Code
  Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet
  ☆46Updated 6 years ago
• HolmesShuan / Caffe-Computation-Graph-Optimization
  Caffe Computation Graph Optimization.
  ☆29Updated 5 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆199Updated 3 years ago
• tpoisonooo / chgemm
  symmetric int8 gemm
  ☆66Updated 4 years ago
• carlushuang / cpu_gemm_opt
  how to design cpu gemm on x86 with avx256, that can beat openblas.
  ☆70Updated 6 years ago