Tags : Browse Projects

Select a tag to browse associated projects and drill deeper into the tag cloud.

cuda_dsmc

Compare

  Analyzed 3 months ago

CUDA based implementation of G A Bird's DSMC algorithm.

33.8K lines of code

5 current contributors

6 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This
Licenses: No declared licenses
Tags CUDA DSMC

neurokernel

Compare

  Analyzed 8 months ago

The Neurokernel Project aims to build an open software platform for the emulation of the entire brain of the fruit fly Drosophila melanogaster on multiple Graphics Processing Units (GPUs).

46.8K lines of code

8 current contributors

10 months since last commit

1 users on Open Hub

Activity Not Available
5.0
 
I Use This

scikit-cuda

Compare

  Analyzed about 1 month ago

scikit-cuda provides Python interfaces to many of the functions in the CUDA device/runtime, CUBLAS, CUFFT, and CUSOLVER libraries distributed as part of NVIDIA's CUDA Programming Toolkit, as well as interfaces to select functions in the free and standard versions of the CULA Dense Toolkit. Both ... [More] low-level wrapper functions similar to their C counterparts and high-level functions comparable to those in NumPy and Scipy are provided. [Less]

15.1K lines of code

3 current contributors

4 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This

GPUE

Compare

  Analyzed 11 months ago

GPU enabled Gross-Pitaevskii Equation numerical solver for rapidly rotating Bose-Einstein condensates.

3.4K lines of code

6 current contributors

12 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This

incubator-singa

Compare

  Analyzed about 1 month ago

SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including ... [More] convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning. [Less]

49.8K lines of code

25 current contributors

3 months since last commit

0 users on Open Hub

Activity Not Available
0.0
 
I Use This

IDSIA Brainstorm

Compare

  Analyzed 8 months ago

Fast, flexible and fun neural networks. Combining lessons from previous projects with new design elements, and written entirely in Python, Brainstorm has been designed to work on multiple platforms with multiple computing backends.

11.9K lines of code

18 current contributors

11 months since last commit

0 users on Open Hub

Activity Not Available
0.0
 
I Use This

GPU-RSCode

Compare

  Analyzed about 1 month ago

Accelerate Reed-Solomon coding for Fault-Tolerance in RAID-like system

24.2K lines of code

0 current contributors

over 1 year since last commit

0 users on Open Hub

Activity Not Available
0.0
 
I Use This
Licenses: No declared licenses
Tags C++ CUDA