Alternatives and similar repositories for Convolution-Neural-Network-by-pyCUDA:

Users that are interested in Convolution-Neural-Network-by-pyCUDA are comparing it to the libraries listed below

• atrifex / CNN-Acceleration
  Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.
  ☆54Updated 7 years ago
• rbaygildin / learn-gpgpu
  Algorithms implemented in CUDA + resources about GPGPU
  ☆55Updated 3 years ago
• chenxuhao / caffe-escoin
  Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
  ☆15Updated 6 years ago
• hclhkbu / gcoospdm
  Sparse-dense matrix-matrix multiplication on GPUs
  ☆14Updated 6 years ago
• brandontrabucco / lstm-cuda
  This is a c++ implementation of an LSTM Neural Network parallelized for a GPU using CUDA
  ☆24Updated 7 years ago
• CharlieCurry / tvm-learning
  TVM learning and research
  ☆13Updated 4 years ago
• md2z34 / winograd_gpu
  GPU implementation of Winograd convolution
  ☆10Updated 7 years ago
• istoony / winograd-convolutional-nn
  I'm going to use the Winograd’s minimal filtering algorithms to introduce a new class of fast algorithms for convolutional neural networks…
  ☆12Updated 7 years ago
• Lee-Gihun / MicroNet_OSI-AI
  (NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
  ☆18Updated 2 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 7 years ago
• haanjack / mnist-cudnn
  CUDA for MNIST training/inference
  ☆40Updated last year
• mark-poscablo / gpu-sum-reduction
  CUDA implementation of the fundamental sum reduce operation. Aims to be as optimized as reasonable.
  ☆36Updated 7 years ago
• pigirons / spmv
  This is a tuned sparse matrix dense vector multiplication(SpMV) library
  ☆21Updated 9 years ago
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 5 years ago
• CoffeeBeforeArch / nvbit_tools
  ☆12Updated 4 years ago
• OpenHero / im2col
  image to column
  ☆30Updated 10 years ago
• northerncat / CUDA-Neural-Network
  A CUDA project that implements optimizations of neural network operations on the GPU.
  ☆9Updated 6 years ago
• pietrobongini / CUDA-ImageConvolution
  Implementations of 2D Image Convolution algorithm with CUDA (using global memory, shared memory and constant memory)
  ☆17Updated 7 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆50Updated 7 years ago
• wykvictor / cs344-cuda-udacity
  Windows Visual Studio Solutions for class "Introduction to Parallel Programming"
  ☆19Updated 6 years ago
• wojciechmo / deep-compression
  Compress neural network with pruning and quantization using TensorFlow.
  ☆105Updated 6 years ago
• TaoHuUMD / Winograd_Convolution
  A Winograd based kernel for convolutions in deep learning framework
  ☆15Updated 7 years ago
• max2ma / shiftNet
  ☆14Updated 5 years ago
• dorthyluu / cs194-winograd
  ☆26Updated 8 years ago
• kberkay / Cuda-Matrix-Multiplication
  Matrix Multiplication on GPU using Shared Memory considering Coalescing and Bank Conflicts
  ☆25Updated 2 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
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• 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