Alternatives and similar repositories for fbcuda:

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

• NVIDIA / cnmem
  A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory
  ☆296Updated 6 years ago
• facebookarchive / thpp
  TH++, C++ interface to the torch7 TH library
  ☆236Updated 6 years ago
• intel / idlf
  Intel® Deep Learning Framework
  ☆313Updated 8 years ago
• TorontoDeepLearning / convnet
  A GPU implementation of Convolutional Neural Nets in C++
  ☆507Updated 4 years ago
• eBay / maxDNN
  High Efficiency Convolution Kernel for Maxwell GPU Architecture
  ☆134Updated 7 years ago
• baidu-research / persistent-rnn
  Fast Recurrent Networks Library
  ☆580Updated 8 years ago
• facebookarchive / fbnn
  Facebook's extensions to torch/nn.
  ☆282Updated 7 years ago
• openai / openai-gemm
  Open single and half precision gemm implementations
  ☆374Updated last year
• DeepMark / deepmark
  THE Deep Learning Benchmarks
  ☆351Updated 8 years ago
• torch / cutorch
  A CUDA backend for Torch7
  ☆339Updated 7 years ago
• facebookarchive / fb-caffe-exts
  Some handy utility libraries and tools for the Caffe deep learning framework.
  ☆457Updated 5 years ago
• NervanaSystems / ngraph-python
  Original Python version of Intel® Nervana™ Graph
  ☆215Updated 2 years ago
• dnouri / cuda-convnet
  My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.
  ☆254Updated 10 years ago
• facebookarchive / Stack-RNN
  This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas…
  ☆418Updated 5 years ago
• deeplearningais / CUV
  Matrix library for CUDA in C++ and Python
  ☆196Updated 8 years ago
• twitter-archive / torch-autograd
  Autograd automatically differentiates native Torch code
  ☆559Updated 3 years ago
• moskewcz / boda
  Boda: A C++ Framework for Efficient Experiments in Computer Vision
  ☆63Updated 5 years ago
• naibaf7 / libdnn
  Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL
  ☆135Updated 7 years ago
• seung-lab / znn-release
  Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).
  ☆94Updated 8 years ago
• dmlc / minerva
  Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bind…
  ☆700Updated 6 years ago
• joschu / cgt
  Computation Graph Toolkit
  ☆630Updated 6 years ago
• torch / cunn
  ☆215Updated 5 years ago
• Alexey-Kamenev / Benchmarks
  Benchmarks for CNTK and other toolkits.
  ☆44Updated 9 years ago
• sailing-pmls / pmls-caffe
  PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System
  ☆194Updated 6 years ago
• hughperkins / cltorch
  An OpenCL backend for torch.
  ☆290Updated 8 years ago
• Yangqing / mincepie
  Lightweight MapReduce in python
  ☆151Updated 11 years ago
• mvitez / thnets
  Basic library that can run networks created with Torch
  ☆174Updated 5 years ago
• hctomkins / caffe-gui-tool
  Node based Gui for creating caffe networks
  ☆103Updated 4 years ago
• purine / purine2
  Purified Purine.
  ☆256Updated 9 years ago
• MKLab-ITI / CUDA
  GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time …
  ☆216Updated 7 years ago