github.com/torch/nn.git - Unnamed repository; edit this file 'description' to name the repository.

Age	Commit message (Collapse)	Author
2016-12-19	adding BatchCenteringbatchcentering	soumith

2016-10-17	Merge pull request #1005 from alykhantejani/add_pixel_shuffle_layer	Soumith Chintala
	PixelShuffle module for sub-pixel convolution
2016-10-16	Added PixelShuffle layer, tests and docs	Alykhan Tejani

2016-10-08	added CAdd module, docs and tests	Alykhan Tejani

2016-10-07	Update LogSoftMax to work in spatial domain	Francisco Massa

2016-08-28	Add Volumetric Dilated Max Pooling	kmul00
	new file: VolumetricDilatedMaxPooling.lua modified: init.lua modified: lib/THNN/generic/THNN.h copied: lib/THNN/generic/VolumetricMaxPooling.c -> lib/THNN/generic/VolumetricDilatedMaxPooling.c modified: lib/THNN/generic/VolumetricMaxPooling.c modified: lib/THNN/init.c modified: test.lua Update docs modified: doc/convolution.md Resolved bug in ceil mode modified: lib/THNN/generic/VolumetricDilatedMaxPooling.c
2016-08-25	add CMaxTable class (#885)	Jonathan Uesato
	* Add CMaxTable and CMinTable
2016-08-25	Adding TemporalDynamicKMaxPooling (#867)	Multihuntr
	* Adding TemporalDynamicKMaxPooling
2016-08-22	A container for applying a single module to all table elements	Jonas Gehring
	This module can be useful when dealing with multi-dimensional mini-batches, for example when training recurrent neural networks (time X batch_size X elements). It simply clones the contained module as necessary and applies each clone to the respective input element.
2016-08-12	Add Spatial Dilated Max Pooling	kmul00
	new file: SpatialDilatedMaxPooling.lua modified: SpatialMaxPooling.lua modified: init.lua modified: lib/THNN/generic/SpatialMaxPooling.c modified: test.lua Updated THNN modified: THNN.h Removed unnecessary function calls modified: SpatialDilatedMaxPooling.lua
2016-08-04	volumetric dilated convolution	soumith

2016-07-31	Merge pull request #889 from torch/bottle	Soumith Chintala
	Implement Bottle container
2016-07-31	Implement Bottle container	Joost van Doorn

2016-07-27	Adding SpatialUpSamplingBilinear	Pauline Luc

2016-07-02	nn.GPU (#835)	Nicholas Léonard
	* Added nn.GPU
2016-06-17	Added VolumetricReplicationPadding.	Jonathan Tompson

2016-06-14	Added ReLU6 layer, test and doc.	Jonathan Tompson

2016-05-11	copy clear state from Identity to {NarrowTable,SelectTable}	Wen Li Zhuang

2016-04-28	Merge pull request #797 from torch/dilated	Soumith Chintala
	adding SpatialDilatedConvolution + tests + doc
2016-04-28	adding SpatialDilatedConvolution + tests + doc	soumith

2016-04-26	Add SpatialClassNLLCriterion	Adam Paszke

2016-04-06	Add MaskedSelect.lua module to replicate torch.maskedSelect behaviour.	rfaulk

2016-03-08	Adding nn.MV	Zeming Lin

2016-03-06	Add Unsqueeze Module	Peng Sun
	This module, nn.Unsqueeze, is the "inverse" operation of nn.Squeeze. It inserts a singleton dim (i.e., dimension 1) at specified position.
2016-03-01	removing useless init.c	soumith

2016-03-01	adding PartialLinear	soumith

2016-03-01	SoftMarginCriterion	soumith

2016-02-29	adding nn.Squeeze	soumith

2016-02-26	Merge pull request #665 from colesbury/bn	Soumith Chintala
	Add VolumetricBatchNormalization
2016-02-25	Add VolumetricBatchNormalization	Sam Gross
	The BatchNormalization modules now all extend nn.BatchNormalization and use the same THNN/THCUNN implementation.
2016-02-25	Adding SpatialReflection and SpatialReplication padding	soumith

2016-02-20	adding ClassSimplexCriterion	soumith

2016-02-20	Added MultiLabelSoftMarginCriterion	soumith

2016-02-17	added VolumetricDropout	misko

2016-02-13	include -> require	Soumith Chintala

2016-01-26	Merge pull request #584 from torch/meansum	Soumith Chintala
	refactoring Mean into Sum
2016-01-26	refactoring Mean into Sum	soumith

2016-01-26	adding a Bilinear layer	soumith

2016-01-21	Merge pull request #569 from kmul00/Vol_unpool	Soumith Chintala
	Unpooling with stored Indices for Volumetric Max Pool
2016-01-21	Added Max Unpooling for Volumetric Max Pool	Koustav
	new file: VolumetricMaxUnpooling.lua new file: generic/VolumetricMaxUnpooling.c modified: init.c modified: init.lua modified: test.lua Freeing up indices modified: generic/VolumetricMaxUnpooling.c Update convolution.md Updated doc for padding support in VolumetricConvolution Added doc for VolumetricMaxUnpooling
2016-01-20	add nn.Contiguous	Sergey Zagoruyko

2016-01-13	add locally-connected layers	Kaiyu Yang
	fix a typo problem of returning a number instead of a tensor progressing bias added forward done cannot pass gradient check yet pass all checks add tests in test.lua Update convolution.md add document format the code use floor to compute output width instead of ceil modify checkInput and checkOutput make unfolded_copy and unfolded_acc into separate files add test against nn.SpatialConvolution progressing on SpatialConvolutionLocal.c fix a typo problem of returning a number instead of a tensor progressing bias added forward done cannot pass gradient check yet pass all checks add tests in test.lua Update convolution.md add document format the code use floor to compute output width instead of ceil modify checkInput and checkOutput make unfolded_copy and unfolded_acc into separate files add test against nn.SpatialConvolution fix missing parenthesis add locally-connected layers
2015-12-30	Merge pull request #413 from fmassa/cross_lrn	Soumith Chintala
	Adds SpatialCrossLRN
2015-12-30	Add THNN/ffi conversion of Abs	Andreas Köpf

2015-12-25	cuda consistency	Sergey Zagoruyko

2015-12-17	Add SpatialMaxUnpooling	clement-masson

2015-12-01	Added LeakyReLU module	Michael Rotman

2015-12-01	refactoring Deconvolution -> FullConvolution	soumith

2015-12-01	Merge pull request #405 from fmassa/deconv	Soumith Chintala
	Adds SpatialDeconvolution
2015-12-01	Cosine similarity	nicholas-leonard