Alternatives and similar repositories for STRODE

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

• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆26Updated 3 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆41Updated last year
• boschresearch / GMM_DAE
  ☆20Updated 4 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆27Updated last year
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 3 years ago
• jjaacckkyy63 / Causal-Intervention-AE-wAdvImg
  ☆11Updated 5 years ago
• hedixia / HeavyBallNODE
  ☆13Updated 4 years ago
• HongtengXu / Reading-List
  A list of papers for group meeting
  ☆19Updated last month
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆22Updated 5 years ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆115Updated 2 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆42Updated 4 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆61Updated last year
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• uuujf / SGDNoise
  [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
  ☆15Updated 5 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆36Updated 5 years ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• abhisheksaurabh1985 / vae_nf
  Variational Autoencoder with Normalizing Flows
  ☆17Updated 8 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 4 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆79Updated 4 years ago
• CVxTz / IntegratedGradientsPytorch
  Integrated gradients attribution method implemented in PyTorch
  ☆27Updated 5 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
  ☆20Updated 10 months ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆76Updated 3 years ago
• mfederici / torch-mist
  Implementation of a PyTorch Mutual Information Estimation Toolkit
  ☆23Updated last year