Alternatives and similar repositories for educnn:

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

• xingdi-eric-yuan / cuda-deep-neural-nets
  Deep neural network framework (C/C++/CUDA).
  ☆31Updated 9 years ago
• dcatcher9 / DeepLearning
  Simple and Cutting-edge Deep Learning Library accelerated with GPU using C++ AMP
  ☆19Updated 8 years ago
• CNugteren / CLCudaAPI
  A portable high-level API with CUDA or OpenCL back-end
  ☆54Updated 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
• LouieYang / CNN
  Convolutional Neural Network using Eigen and C++
  ☆20Updated 9 years ago
• carlren / ORUtils
  Set of basic classes (vector, matrix, images and memory array) for CPU and GPU
  ☆17Updated 3 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆63Updated 9 years ago
• kashif / cuda-workshop
  Code examples for the CUDA workshop
  ☆36Updated 2 years ago
• lukeyeager / cmake-cuda-example
  Example of how to use CUDA with CMake >= 3.8
  ☆69Updated last year
• TianweiXing / BNN
  Binarized Neural Network
  ☆9Updated 8 years ago
• bryancatanzaro / kmeans
  kmeans
  ☆54Updated 8 years ago
• drufat / cuda-examples
  A few cuda examples built with cmake
  ☆23Updated 5 years ago
• jnbraun / bcnn
  A minimalist Deep Learning framework for embedded Computer Vision
  ☆45Updated 5 years ago
• jamolnng / OpenCL-CUDA-Tutorials
  Sources for OpenCL and CUDA tutorials. http://jlaning.com
  ☆20Updated 9 years ago
• lukemetz / Neural-Net-Experiments
  A GPU / CPU implementation of a feed forward neural network
  ☆32Updated 9 years ago
• meierue / RNNLIB
  A recurrent neural network library for sequence learning problems.
  ☆45Updated 9 years ago
• MatthieuCourbariaux / binary-matrix-product
  Fast binary matrix product on CPU
  ☆10Updated 9 years ago
• xingdi-eric-yuan / recurrent-net-lstm
  Long Short-Term Memory Recurrent Neural Networks
  ☆27Updated 9 years ago
• headupinclouds / half
  half precision floating point library (fork)
  ☆7Updated 9 years ago
• goldsborough / k-means
  Code accompanying my blog post on k-means in Python, C++ and CUDA
  ☆58Updated 7 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆28Updated 8 years ago
• flame / fmm-gen
  Generating Families of Practical Fast Matrix Multiplication Algorithms
  ☆12Updated 7 years ago
• samehkhamis / pydeeplearn
  pydeeplearn is a simple deep learning library written from scratch entirely in Python (CNN / RNN)
  ☆15Updated 9 years ago
• codekansas / tinier-nn
  Binarized Neural Network TF training code + C matrix / eval library.
  ☆99Updated 7 years ago
• bfierz / vcl
  Visual Computing Library
  ☆20Updated 2 months ago
• ColfaxResearch / FALCON
  Library for fast image convolution in neural networks on Intel Architecture
  ☆29Updated 7 years ago
• antoinetlc / realistic_diffraction
  [SIGGRAPH 2017] Realistic diffraction is the official implementation of the paper Practical Acquisition and Rendering of Diffraction Effe…
  ☆15Updated 3 years ago
• ashwin / fasthog
  FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04
  ☆20Updated 11 years ago
• gnawice / mojo-cnn
  mojo cnn: c++ convolutional neural network
  ☆196Updated 6 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆81Updated 8 years ago