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)
  ☆467Updated 5 years ago
• dragen1860 / MAML-TensorFlow
  Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  ☆208Updated 3 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
• RockySJ / WDGRL
  ☆126Updated 7 years ago
• mldsta / mlds-2018-hw4
  ☆20Updated 7 years ago
• sleepycoke / NJU_Com_Models
  《计算模型导引》第五章参考答案
  ☆14Updated 6 years ago
• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆148Updated 6 years ago
• twitter-research / meta-learning-lstm
  This repo contains the source code accompanying a scientific paper with the same name.
  ☆375Updated 3 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
• katerakelly / pytorch-maml
  PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
  ☆564Updated 6 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆447Updated 3 years ago
• kuc2477 / pytorch-ewc
  Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
  ☆279Updated 11 months ago
• oneHuster / Meta-Learning-Papers
  A classified list of meta learning papers based on realm.
  ☆360Updated 2 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,027Updated 5 years ago
• AntreasAntoniou / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆809Updated last year
• luizgh / avc_nips_2018
  Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge
  ☆19Updated 6 years ago
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆182Updated 2 years ago
• ethanfetaya / NRI
  Neural relational inference for interacting systems - pytorch
  ☆758Updated 5 years ago
• JudyYe / zero-shot-gcn
  Zero-Shot Learning with GCN (CVPR 2018)
  ☆922Updated 6 years ago
• Eilene / spatio-temporal-paper-list
  Spatio-temporal modeling 论文列表（主要是graph convolution相关)
  ☆527Updated 5 years ago
• Hanjun-Dai / pytorch_structure2vec
  pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
  ☆311Updated 6 years ago
• hungtuchen / pytorch-dqn
  Deep Q-Learning Network in pytorch (not actively maintained)
  ☆403Updated 7 years ago
• danielzuegner / nettack
  Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
  ☆221Updated 3 years ago
• pumpikano / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆631Updated 3 years ago
• Hanjun-Dai / graph_adversarial_attack
  Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
  ☆128Updated 3 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆346Updated 6 years ago
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆808Updated 6 years ago
• floodsung / Meta-Learning-Papers
  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
  ☆2,634Updated 6 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• vgsatorras / few-shot-gnn
  ☆576Updated 2 years ago