akrizhevsky / cuda-convnet2Links
Automatically exported from code.google.com/p/cuda-convnet2
☆813Updated 9 years ago
Alternatives and similar repositories for cuda-convnet2
Users that are interested in cuda-convnet2 are comparing it to the libraries listed below
Sorting:
- Easy benchmarking of all publicly accessible implementations of convnets☆2,682Updated 8 years ago
- Acceleration package for neural networks on multi-core CPUs☆1,699Updated last year
- ☆600Updated 11 years ago
- Fast Recurrent Networks Library☆577Updated 9 years ago
- This is a Experimental version of OpenCL by AMD Research, we now recommend you to use The official BVLC Caffe OpenCL branch is over at …☆530Updated 7 years ago
- Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning☆1,117Updated 6 years ago
- ☆871Updated 8 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆259Updated 10 years ago
- LSTM implementation on Caffe☆491Updated 9 years ago
- THE Deep Learning Benchmarks☆351Updated 8 years ago
- This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http…☆580Updated 5 years ago
- OpenCL library to train deep convolutional neural networks☆875Updated 7 years ago
- Some handy utility libraries and tools for the Caffe deep learning framework.☆459Updated 6 years ago
- A GPU implementation of Convolutional Neural Nets in C++☆505Updated 5 years ago
- Benchmarking Deep Learning operations on different hardware☆1,096Updated 4 years ago
- Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework☆425Updated 7 years ago
- A series of machine learning tutorials for Torch7☆622Updated 4 years ago
- Implementation of some deep learning algorithms.☆897Updated 11 years ago
- an imagenet example in torch.☆405Updated 8 years ago
- Deep Networks with Stochastic Depth☆480Updated 7 years ago
- move forward to https://github.com/dmlc/mxnet☆1,026Updated 10 years ago
- Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubi…☆406Updated 4 years ago
- Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bind…☆705Updated 6 years ago
- Caffe: a fast open framework for deep learning.☆670Updated 2 years ago
- ImageNet classification using binary Convolutional Neural Networks☆867Updated 7 years ago
- ☆1,655Updated 7 years ago
- Python module for performing basic dense linear algebra computations on the GPU using CUDA.☆610Updated 5 years ago
- Recurrent Neural Network library for Torch7's nn☆943Updated 7 years ago
- Deep Residual Networks with 1K Layers☆926Updated 8 years ago
- Theano-based Alexnet☆229Updated 8 years ago