xbresson / CE7454_2020

Related projects ⓘ

Alternatives and complementary repositories for CE7454_2020

• xbresson / CE9010_2020
  CE9010 Introduction to Data Analysis, 2020
  ☆7Updated 4 years ago
• sailab-code / gnn
  Graph Neural Network
  ☆39Updated 3 years ago
• hadarser / ProvablyPowerfulGraphNetworks_torch
  ☆39Updated 4 years ago
• mlelarge / graph_neural_net
  Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
  ☆40Updated last year
• anguyen8 / sam
  Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"
  ☆27Updated last year
• lsj2408 / GraphNorm
  [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)
  ☆101Updated last year
• hadarser / ProvablyPowerfulGraphNetworks
  ☆16Updated 4 years ago
• dwromero / att_gconvs
  Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…
  ☆49Updated 4 years ago
• liuchen11 / CertifyNonuniformBounds
  On Certifying Non-uniform Bounds against Adversarial Attacks [ICML 2019]
  ☆6Updated 5 years ago
• tsujuifu / pytorch_sscr
  A PyTorch implementation of SSCR
  ☆24Updated 3 months ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• chandar-lab / CGOptimizer
  ☆6Updated last year
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆101Updated 2 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆101Updated 4 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆53Updated 3 years ago
• Kamnitsask / ssl_compact_clustering
  Semi-supervised learning via Compact Latent Space Clustering
  ☆47Updated 5 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆58Updated 3 years ago
• KelestZ / CondGen
  Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
  ☆54Updated 5 years ago
• srebuffi / revisiting_saliency
  There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)
  ☆52Updated 4 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆62Updated 4 years ago
• chirag-agarwall / VOG
  Estimating Example Difficulty using Variance of Gradients
  ☆63Updated last year
• HeddaCohenIndelman / Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
  LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
  ☆77Updated last year
• se-ok / WLsimilarity
  informal exposition of Weisfeiler-Leman similarity
  ☆27Updated 3 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆58Updated 5 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated last year
• MadryLab / cox
  A lightweight experimental logging library
  ☆50Updated 3 months ago
• DeepGraphLearning / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆31Updated 5 years ago
• KaihuaTang / GGNN-for-bAbI-dataset.pytorch.1.0
  A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)
  ☆54Updated 2 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆78Updated 5 years ago
• LeoYu / neural-tangent-kernel-UCI
  Testing Nerual Tangent Kernel (NTK) on small UCI datasets
  ☆82Updated 5 years ago