koray kavukcuoglu aa0b85bb80 added histograms back

2012-02-13 10:48:37 -05:00

dok

big pass over documentation to make titles consistent across all packages..

2012-02-13 00:33:09 -05:00

generic

added maskedSelect method to select elements using a mask vector

2012-02-05 16:40:12 -05:00

lib

added histograms back

2012-02-13 10:48:37 -05:00

test

{min,max,sum,mean,var,std}all now without 'all' in lua

2012-02-03 11:04:01 +01:00

CMakeLists.txt

now methods & functions are both generated by wrap -- this fixes some bugs and makes things more clear

2012-02-04 19:30:53 +01:00

CmdLine.lua

Merge branch 'master' into newpack

2012-02-03 11:09:42 +01:00

DiskFile.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

File.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

File.lua

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

general.h

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

hist.lua

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

init.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

init.lua

moved local path setup into torch-env.lua

2012-02-10 11:03:32 +01:00

MemoryFile.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

PipeFile.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

random.lua

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

Storage.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

Tensor.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

Tensor.lua

{min,max,sum,mean,var,std}all now without 'all' in lua

2012-02-03 11:04:01 +01:00

TensorMath.lua

added histograms back

2012-02-13 10:48:37 -05:00

TensorOperator.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

Tester.lua

{min,max,sum,mean,var,std}all now without 'all' in lua

2012-02-03 11:04:01 +01:00

Timer.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

utils.c

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

utils.h

initial revamp of torch7 tree

2012-01-25 14:55:20 +01:00

Description

Tensors and Dynamic neural networks in Python with strong GPU acceleration

autograddeep-learninggpumachine-learningneural-networknumpypythontensor

BSD-3-Clause 4.2 GiB

Languages

Python 59.9%

C++ 32.3%

Cuda 2.9%

C 1.4%

Objective-C++ 1.1%

Other 2.1%