Alternatives and similar repositories for cuda-deep-neural-nets

Users that are interested in cuda-deep-neural-nets are comparing it to the libraries listed below

• mkolod / mxnet_seq2seq
  Simple MXNet sequence-to-sequence model (neural machine translation)
  ☆24Updated 7 years ago
• bzcheeseman / pytorch-inference
  OpenCL Inference Engine for pytorch
  ☆51Updated 7 years ago
• masahi / nnvm-vision-demo
  Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM
  ☆49Updated 7 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆63Updated 10 years ago
• jhjin / flattened-cnn
  Flattened convolutional neural networks (1D convolution modules for Torch nn)
  ☆61Updated 9 years ago
• HamedMP / tensorflow_export_cpp_example
  Tutorial for how to export your tensorflow models in python to C++
  ☆88Updated 9 years ago
• aaalgo / xnn
  a C++ wrapper of Caffe and mxnet to make predictions
  ☆49Updated 7 years ago
• xingdi-eric-yuan / recurrent-net-lstm
  Long Short-Term Memory Recurrent Neural Networks
  ☆26Updated 10 years ago
• krocki / ArrayLSTM
  GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
  ☆25Updated 5 years ago
• ahmetaa / fast-dnn
  A fast deep neural network library (CPU) for speech recognition
  ☆84Updated 6 years ago
• ebetica / autogradpp
  Direct C++ Interface to PyTorch
  ☆81Updated 7 years ago
• dsisds / caffe-SPPNet
  detection-developing
  ☆20Updated 10 years ago
• songhan / SqueezeNet-Generator
  SqueezeNet Generator
  ☆31Updated 7 years ago
• songhan / SqueezeNet-DSD-Training
  ☆57Updated 7 years ago
• ManuelGonzalezRivero / 3dbabove
  The collection of jupyter notebooks that were created to compose 3dbabove posts
  ☆44Updated 7 years ago
• iPhysicist / CNNDesignPatterns
  Caffe code and prototxt files for the CNN Design Patterns paper
  ☆56Updated 8 years ago
• zhengwy888 / binary_ops
  ☆23Updated 9 years ago
• lukemetz / Neural-Net-Experiments
  A GPU / CPU implementation of a feed forward neural network
  ☆31Updated 10 years ago
• lifeiteng / FasterDNN
  Faster Deep Neural Networks
  ☆37Updated 7 years ago
• meierue / RNNLIB
  A recurrent neural network library for sequence learning problems.
  ☆45Updated 9 years ago
• xternalz / DelugeNets
  DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
  ☆26Updated 8 years ago
• Teaonly / FMD.torch
  Full convolution MultiBox Detector ( like SSD) implemented in Torch.
  ☆40Updated 8 years ago
• Alfredvc / cnn_workshop
  CNN workshop held at NTNU, spring 2016.
  ☆24Updated 8 years ago
• Bihaqo / tf-memonger
  Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets
  ☆28Updated 9 years ago
• dmlc / MXNet.cpp
  C++ interface for mxnet
  ☆115Updated 8 years ago
• dlsys-course / assignment2-2017
  (Spring 2017) Assignment 2: GPU Executor
  ☆62Updated 8 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• okdshin / instant
  DNN Inference with CPU, C++, ONNX support: Instant
  ☆56Updated 6 years ago
• louishenrifranc / attention
  Attention is All You Need in Sonnet
  ☆38Updated 7 years ago
• NervanaSystems / caffe2neon
  Tools to convert Caffe models to neon's serialization format
  ☆39Updated 2 years ago