Alternatives and similar repositories for gemmbitserial

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

• 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
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 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
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆51Updated 7 years ago
• parsa-epfl / HBFPEmulator
  ColTraIn HBFP Training Emulator
  ☆16Updated 2 years ago
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 6 years ago
• wangmaolin / niti
  Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv
  ☆84Updated 2 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆157Updated 3 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆40Updated 6 years ago
• dmlc / nnvm-fusion
  Kernel Fusion and Runtime Compilation Based on NNVM
  ☆70Updated 8 years ago
• max2ma / shiftNet
  ☆14Updated 5 years ago
• stanford-mast / nn_dataflow
  Explore the energy-efficient dataflow scheduling for neural networks.
  ☆225Updated 4 years ago
• hessamb / lcnn
  LCNN: Lookup-based Convolutional Neural Network
  ☆52Updated 7 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆28Updated 9 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• 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
• adityaiitb / pyprof2
  PyProf2: PyTorch Profiling tool
  ☆82Updated 4 years ago
• EECS-NTNU / bismo
  BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing
  ☆139Updated 5 years ago
• mlzxy / qsparse
  Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
  ☆42Updated 2 years ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• AcrossV / Gated-XNOR
  Ternary Weights and Activations
  ☆24Updated 6 years ago
• ottj / QuantizedRNN
  Recurrent Neural Networks With Limited Numerical Precision
  ☆11Updated 8 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 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
• fpeder / espresso
  Efficient forward propagation for BCNNs
  ☆50Updated 8 years ago
• lz1313 / BlockCIrculantRNN
  BlockCIrculantRNN (LSTM and GRU) using TensorFlow
  ☆14Updated 6 years ago
• ColfaxResearch / FALCON
  Library for fast image convolution in neural networks on Intel Architecture
  ☆29Updated 7 years ago