Alternatives and similar repositories for leap

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

• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 3 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆40Updated 3 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆64Updated 3 years ago
• phlippe / CITRIS
  Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…
  ☆56Updated 2 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆30Updated 2 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆88Updated last year
• ZiweiXU / LENSR
  ☆40Updated 5 years ago
• cgraber / cvpr_dNRI
  Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020
  ☆61Updated 4 years ago
• a7b23 / H-Divergence
  ☆21Updated 3 years ago
• yannadani / vcn_pytorch
  Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"
  ☆17Updated 4 years ago
• StanfordASL / moca
  ☆32Updated 3 years ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆76Updated 4 years ago
• bpucla / latent-space-EBM-prior
  ☆38Updated 5 years ago
• yixinwang / representation-causal-public
  ☆45Updated 3 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆65Updated 4 years ago
• piomonti / carefl
  Code for "Causal autoregressive flows" - AISTATS, 2021
  ☆45Updated 4 years ago
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 3 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆76Updated 3 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆30Updated 8 months ago
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 5 years ago
• Jiacheng-Zhu-AIML / FOT
  Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
  ☆27Updated 4 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆90Updated 2 years ago
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆39Updated 4 years ago
• vuoristo / MMAML-Regression
  ☆22Updated 4 years ago
• fishmoon1234 / DAG-NoCurl
  ☆25Updated 3 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆22Updated 3 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago