milakov / nnForgeLinks
Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends
☆182Updated 6 years ago
Alternatives and similar repositories for nnForge
Users that are interested in nnForge are comparing it to the libraries listed below
Sorting:
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- An OpenCL Torch Utility Library☆59Updated 9 years ago
- TH++, C++ interface to the torch7 TH library☆242Updated 7 years ago
- A fast deep neural network library (CPU) for speech recognition☆84Updated 6 years ago
- An open source library for artificial neural networks.☆122Updated 4 years ago
- OpenCL backend for Torch nn neural networks library☆126Updated 9 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆141Updated 8 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- C++ 11 implementation of Geoff Hinton's Deep Learning matlab code☆287Updated 10 years ago
- A GPU implementation of Convolutional Neural Nets in C++☆505Updated 5 years ago
- Deep neural network framework (C/C++/CUDA).☆32Updated 10 years ago
- MPI Parallel framework for training deep learning models built in Theano☆54Updated 8 years ago
- ☆76Updated 9 years ago
- An OpenCL backend for torch.☆300Updated 8 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- Benchmarks for CNTK and other toolkits.☆44Updated 9 years ago
- Convolution op for Theano based on CuFFT using scikits.cuda☆51Updated 11 years ago
- Benchmarking matrix multiplication implementations☆102Updated 9 years ago
- Library to manipulate tensors on the GPU.☆187Updated 2 years ago
- A GPU (CUDA) based Artificial Neural Network library☆109Updated 4 years ago
- ☆73Updated 13 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- Boda: A C++ Framework for Efficient Experiments in Computer Vision☆64Updated 6 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆136Updated 8 years ago
- Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.☆86Updated 7 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆259Updated 10 years ago
- mojo cnn: c++ convolutional neural network☆198Updated 7 years ago
- kmeans☆55Updated 9 years ago
- Original Python version of Intel® Nervana™ Graph☆215Updated 3 years ago
- ☆214Updated 6 years ago