akrizhevsky / Cuda Convnet2
Licence: apache-2.0
Automatically exported from code.google.com/p/cuda-convnet2
Stars: ✭ 690
Labels
Projects that are alternatives of or similar to Cuda Convnet2
Thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Stars: ✭ 586 (-15.07%)
Mutual labels: cuda
Trtorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
Stars: ✭ 583 (-15.51%)
Mutual labels: cuda
Speedtorch
Library for faster pinned CPU <-> GPU transfer in Pytorch
Stars: ✭ 615 (-10.87%)
Mutual labels: cuda
Nv Wavenet
Reference implementation of real-time autoregressive wavenet inference
Stars: ✭ 681 (-1.3%)
Mutual labels: cuda
Taskflow
A General-purpose Parallel and Heterogeneous Task Programming System
Stars: ✭ 6,128 (+788.12%)
Mutual labels: cuda
Kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Stars: ✭ 627 (-9.13%)
Mutual labels: cuda
Cudamat
Python module for performing basic dense linear algebra computations on the GPU using CUDA.
Stars: ✭ 554 (-19.71%)
Mutual labels: cuda
Twostreamfusion
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
Stars: ✭ 618 (-10.43%)
Mutual labels: cuda
Lighthouse2
Lighthouse 2 framework for real-time ray tracing
Stars: ✭ 542 (-21.45%)
Mutual labels: cuda
Mc Cnn
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Stars: ✭ 638 (-7.54%)
Mutual labels: cuda
Stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (-23.04%)
Mutual labels: cuda
Chainer
A flexible framework of neural networks for deep learning
Stars: ✭ 5,656 (+719.71%)
Mutual labels: cuda
Vexcl
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
Stars: ✭ 626 (-9.28%)
Mutual labels: cuda
cuda-convnet2
Automatically exported from code.google.com/p/cuda-convnet2
You can read the documentation in two ways:
- On this site: go to branches > wiki.
- On Google Code (for now?): https://code.google.com/p/cuda-convnet2/
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].