Alternatives and similar repositories for gemmbitserial

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

• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 7 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆157Updated 3 years ago
• facebookresearch / deepfloat
  An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
  ☆394Updated 2 years ago
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆284Updated last year
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 6 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆51Updated 7 years ago
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆27Updated 5 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 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
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• wangmaolin / niti
  Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv
  ☆86Updated 3 years ago
• dmlc / nnvm-fusion
  Kernel Fusion and Runtime Compilation Based on NNVM
  ☆71Updated 8 years ago
• hessamb / lcnn
  LCNN: Lookup-based Convolutional Neural Network
  ☆52Updated 7 years ago
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆46Updated 6 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆40Updated 6 years ago
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆50Updated last year
• zhuwenxi / pytorch-profiling-tool
  ☆54Updated 7 years ago
• larq / compute-engine
  Highly optimized inference engine for Binarized Neural Networks
  ☆251Updated last week
• rdadolf / fathom
  Reference workloads for modern deep learning methods.
  ☆73Updated 2 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 5 years ago
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 7 years ago
• jaewoosong / pocketnn
  The official, proof-of-concept C++ implementation of PocketNN.
  ☆34Updated last year
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆90Updated 4 years ago
• stanford-mast / nn_dataflow
  Explore the energy-efficient dataflow scheduling for neural networks.
  ☆227Updated 5 years ago
• uwsampl / tutorial
  A self-contained version of the tutorial which can be easily cloned and viewed by others.
  ☆24Updated 6 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• mlzxy / qsparse
  Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
  ☆43Updated 3 years ago