Three Liu Three-Liu
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| [repositories] | |
| local | |
| huaweicloud-ivy: https://mirrors.huaweicloud.com/repository/ivy/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext] | |
| huaweicloud-maven: https://mirrors.huaweicloud.com/repository/maven/ | |
| bintray-typesafe-ivy: https://dl.bintray.com/typesafe/ivy-releases/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext] | |
| bintray-sbt-plugins: https://dl.bintray.com/sbt/sbt-plugin-releases/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext], bootOnly | |
| # aliyun not works for ivy | |
| # aliyun-ivy: https://maven.aliyun.com/repository/public/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext] | |
| # aliyun-public-mirror: https://maven.aliyun.com/repository/public/ |
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| class NeuMF(torch.nn.Module): | |
| def __init__(self, config): | |
| super(NeuMF, self).__init__() | |
| #mf part | |
| self.embedding_user_mf = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mf) | |
| self.embedding_item_mf = torch.nn.Embedding(num_embeddings=self.num_items, embedding_dim=self.latent_dim_mf) | |
| #mlp part | |
| self.embedding_user_mlp = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mlp) |
HarshTrivedi
/ pad_packed_demo.py
Last active
November 7, 2025 15:47
— forked from Tushar-N/pad_packed_demo.py
Minimal tutorial on packing (pack_padded_sequence) and unpacking (pad_packed_sequence) sequences in pytorch.
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| import torch | |
| from torch import LongTensor | |
| from torch.nn import Embedding, LSTM | |
| from torch.autograd import Variable | |
| from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
| ## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium'] | |
| # | |
| # Step 1: Construct Vocabulary | |
| # Step 2: Load indexed data (list of instances, where each instance is list of character indices) |