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

• rbaygildin / learn-gpgpu
  Algorithms implemented in CUDA + resources about GPGPU
  ☆55Updated 3 years ago
• atrifex / CNN-Acceleration
  Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.
  ☆54Updated 8 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
• arneish / parallel-PCA-openmp
  A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedu…
  ☆17Updated 5 years ago
• haanjack / mnist-cudnn
  CUDA for MNIST training/inference
  ☆40Updated last year
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• PolyArch / fp-diannao
  ☆14Updated 2 weeks ago
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 6 years ago
• jkjung-avt / keras_imagenet
  Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch
  ☆72Updated 3 years ago
• paramhanji / CUDA-CNN
  Implementation of a simple CNN using CUDA
  ☆68Updated 7 years ago
• chenxuhao / caffe-escoin
  Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
  ☆16Updated 6 years ago
• wykvictor / cs344-cuda-udacity
  Windows Visual Studio Solutions for class "Introduction to Parallel Programming"
  ☆19Updated 6 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
• rafalk342 / bfs-cuda
  Implementation of breadth first search on GPU with CUDA Driver API.
  ☆49Updated 4 years ago
• pigirons / spmv
  This is a tuned sparse matrix dense vector multiplication(SpMV) library
  ☆21Updated 9 years ago
• csehydrogen / Winograd-OpenCL
  Winograd-based convolution implementation in OpenCL
  ☆28Updated 8 years ago
• nickspell / udacity-IntroToParallelProgramming
  CS344 - Introduction To Parallel Programming course (Udacity) proposed solutions
  ☆53Updated 7 years ago
• carlushuang / cpu_gemm_opt
  how to design cpu gemm on x86 with avx256, that can beat openblas.
  ☆70Updated 6 years ago
• mark-poscablo / gpu-sum-reduction
  CUDA implementation of the fundamental sum reduce operation. Aims to be as optimized as reasonable.
  ☆37Updated 7 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 years ago
• WuDan0399 / Integrate-NVDLA-and-TVM
  ☆30Updated 2 years ago
• jack-willturner / pytorch-onnx-tvm
  PyTorch -> ONNX -> TVM for autotuning
  ☆24Updated 5 years ago
• sunziping2016 / VeryTinyCnn
  A CNN implementation with pure C++ 11
  ☆27Updated 7 years ago
• lcskrishna / onnx-parser
  ONNX Parser is a tool that automatically generates openvx inference code (CNN) from onnx binary model files.
  ☆18Updated 6 years ago
• gmarciani / cudawesome
  A collection of awesome algorithms, implemented in CUDA.
  ☆25Updated 7 years ago
• AndrewZhaoLuo / TVM-Sandbox
  Sandbox for TVM and playing around!
  ☆22Updated 2 years ago
• Xilinx / mlir-xten
  ☆14Updated this week
• gpgpu-sim / cutlass-gpgpu-sim
  ☆25Updated 5 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 7 years ago
• ShadyBoukhary / GPU-research-FFT-OpenACC-CUDA
  Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the deve…
  ☆13Updated 6 years ago