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neilisaac / torch python

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torch / python / layers
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adaptive_weight.py
sampling_train.py
tags.py
build_index.py
bucket_weighted.py
batch_normalization.py
merge_id_lists.py
homotopy_weight.py
sampling_trainable_mixin.py
last_n_window_collector.py
random_fourier_features.py
fc.py
concat.py
position_weighted.py
layer_normalization.py
margin_rank_loss.py
batch_softmax_loss.py
add_bias.py
fc_without_bias.py
arc_cosine_feature_map.py
bpr_loss.py
__init__.py
batch_huber_loss.py
sparse_lookup.py
batch_sigmoid_cross_entropy_loss.py
semi_random_features.py
pairwise_similarity.py
blob_weighted_sum.py
batch_lr_loss.py
gather_record.py
feature_sparse_to_dense.py
functional.py
select_record_by_context.py
split.py
label_smooth.py
reservoir_sampling.py
sparse_feature_hash.py
fc_with_bootstrap.py
dropout.py
conv.py
layers.py
sparse_dropout_with_replacement.py
batch_mse_loss.py
constant_weight.py
uniform_sampling.py