rodrigob / cudatemplatesLinks
The "CUDA templates" are a collection of C++ template classes and functions which provide a consistent interface to NVIDIA's "Compute Unified Device Architecture" (CUDA), hiding much of the complexity of the underlying CUDA functions from the programmer (see the brief overview of the main features). Original author: Markus Grabner
☆27Updated 14 years ago
Alternatives and similar repositories for cudatemplates
Users that are interested in cudatemplates are comparing it to the libraries listed below
Sorting:
- Tools to convert Caffe models to neon's serialization format☆39Updated 2 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- Torch7 bindings for cuda-convnet2 kernels!☆40Updated 9 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 9 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆140Updated 8 years ago
- a C++ wrapper of Caffe and mxnet to make predictions☆49Updated 7 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 10 years ago
- This is a demo project that shows how you can utilize Caffe2's modular design and build a library on top of it.☆40Updated 6 years ago
- Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.☆86Updated 7 years ago
- miniplaces2 deep residual network in neon☆16Updated 9 years ago
- Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)☆130Updated 8 years ago
- caffe with cudnn☆54Updated 9 years ago
- ☆76Updated 9 years ago
- Code release for DeepBox paper in ICCV 2015☆126Updated 8 years ago
- ☆73Updated 13 years ago
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 7 years ago
- Custom fork containing our own python backend for integration into neon☆15Updated 2 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆260Updated 10 years ago
- mpi-caffe☆49Updated 6 years ago
- C++ Prediction Example With Caffe☆41Updated 10 years ago
- Convert a Caffe Model to a Theano Model☆11Updated 10 years ago
- Caffe code and prototxt files for the CNN Design Patterns paper☆56Updated 8 years ago
- Unsupervised Learning on Neural Network Outputs☆73Updated 8 years ago
- Benchmarks for CNTK and other toolkits.☆44Updated 9 years ago
- expresso☆43Updated 9 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 9 years ago
- Pre-trained models for MixDCNN paper☆36Updated 7 years ago
- Standalone C TH library☆62Updated 8 years ago
- Full convolution MultiBox Detector ( like SSD) implemented in Torch.☆40Updated 8 years ago
- Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computa…☆230Updated 9 years ago