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:
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 8 years ago
- 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 9 years ago
- a C++ wrapper of Caffe and mxnet to make predictions☆49Updated 7 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
- Boda: A C++ Framework for Efficient Experiments in Computer Vision☆64Updated 6 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 9 years ago
- Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.☆86Updated 7 years ago
- Standalone C TH library☆62Updated 8 years ago
- SqueezeNet Generator☆31Updated 7 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆142Updated 8 years ago
- Caffe with NNPACK integration☆59Updated 9 years ago
- ☆73Updated 13 years ago
- C++ Prediction Example With Caffe☆41Updated 10 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆258Updated 10 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 10 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- caffe with cudnn☆54Updated 10 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 9 years ago
- Code release for DeepBox paper in ICCV 2015☆125Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Updated 9 years ago
- ☆76Updated 9 years ago
- Custom fork containing our own python backend for integration into neon☆15Updated 2 years ago
- A C++ interface for the caffe library☆15Updated 9 years ago
- Caffe: a fast open framework for deep learning.☆14Updated 9 years ago
- Torch7 bindings for cuda-convnet2 kernels!☆41Updated 9 years ago
- Benchmarks for CNTK and other toolkits.☆44Updated 10 years ago
- Visualizing Object Detection Features. ICCV 2013☆222Updated 9 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 10 years ago
- Deep neural network framework (C++/OpenCV).☆77Updated 5 years ago