Alternatives and similar repositories for xml2pytorch

Users that are interested in xml2pytorch are comparing it to the libraries listed below

• chingyaoc / ggnn.pytorch
  A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
  ☆468Updated 6 years ago
• LantaoYu / SeqGAN
  Implementation of Sequence Generative Adversarial Nets with Policy Gradient
  ☆2,092Updated 6 years ago
• ZhimingZhou / AdaShift-LGANs-MaxGP-refactored
  This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.
  ☆14Updated 5 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆919Updated 7 years ago
• niudd / ICML-2018-Papers
  https://icml.cc/Conferences/2018/Schedule
  ☆35Updated 7 years ago
• shaohua0116 / ICLR2020-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆461Updated 5 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,027Updated 6 years ago
• Eilene / spatio-temporal-paper-list
  Spatio-temporal modeling 论文列表（主要是graph convolution相关)
  ☆526Updated 5 years ago
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆810Updated 6 years ago
• ethanfetaya / NRI
  Neural relational inference for interacting systems - pytorch
  ☆765Updated 5 years ago
• katerakelly / pytorch-maml
  PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
  ☆564Updated 7 years ago
• yao-jason / MLDS2018SPRING
  Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
  ☆147Updated 6 years ago
• Hanjun-Dai / graph_adversarial_attack
  Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
  ☆130Updated 3 years ago
• MaximumEntropy / Seq2Seq-PyTorch
  Sequence to Sequence Models with PyTorch
  ☆741Updated 3 years ago
• hungtuchen / pytorch-dqn
  Deep Q-Learning Network in pytorch (not actively maintained)
  ☆417Updated 7 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• twitter-research / meta-learning-lstm
  This repo contains the source code accompanying a scientific paper with the same name.
  ☆377Updated 3 years ago
• loudinthecloud / pytorch-ntm
  Neural Turing Machines (NTM) - PyTorch Implementation
  ☆600Updated 7 years ago
• dragen1860 / MAML-TensorFlow
  Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  ☆213Updated 3 years ago
• floodsung / Meta-Learning-Papers
  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
  ☆2,641Updated 6 years ago
• davidtellez / contrastive-predictive-coding
  Keras implementation of Representation Learning with Contrastive Predictive Coding
  ☆547Updated 6 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆554Updated 4 years ago
• BangLiu / AcademicInterviewer
  Mimic interview
  ☆10Updated 5 years ago
• RockySJ / WDGRL
  ☆126Updated 7 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆730Updated 3 years ago
• kohpangwei / influence-release
  ☆797Updated 4 years ago
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆323Updated 6 years ago
• mogolola / neural_optimizer_search
  An implementation of ICML 2017 paper <<Neural Optimizer Search with Reinforcement Learning>> https://arxiv.org/abs/1709.07417
  ☆15Updated 7 years ago
• JackieTseng / conference_call_for_paper
  2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processi…
  ☆856Updated 4 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆465Updated 6 years ago