Alternatives and similar repositories for variational-beam-search

Users that are interested in variational-beam-search are comparing it to the libraries listed below

• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 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
• Jiacheng-Zhu-AIML / FOT
  Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
  ☆27Updated 4 years ago
• xu-ji / ARM
  Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
  ☆11Updated 5 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆79Updated 5 years ago
• TomVeniat / ProgressiveNeuralNetworks.pytorch
  Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework
  ☆51Updated 5 years ago
• huckiyang / awesome-deep-causal-learning
  A curated list of awesome deep causal learning methods since 2018
  ☆18Updated 2 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 5 years ago
• pairlab / v-cdn
  [NeurIPS 2020] Causal Discovery in Physical Systems from Videos
  ☆81Updated 3 years ago
• StanfordASL / moca
  ☆32Updated 3 years ago
• arslan-chaudhry / orthog_subspace
  Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)
  ☆36Updated 5 years ago
• henrikmarklund / arm
  ☆83Updated 2 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 4 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
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 6 years ago
• mgong2 / DA_Infer
  Domain Adaptation as a Problem of Inference on Graphical Models
  ☆29Updated 4 years ago
• lywang3081 / CoSCL
  CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)
  ☆19Updated 2 years ago
• ynysjtu / ood_bench
  ☆49Updated 3 years ago
• weigq / neurips2021_stats
  ☆35Updated 4 years ago
• timgaripov / asa
  Code for paper "Adversarial Support Alignment"
  ☆23Updated 3 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆44Updated 3 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆13Updated 4 years ago
• Continual-Lifelong-Learning / resources
  ☆17Updated 5 years ago
• ThomasMrY / Groupified-VAE
  [ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"
  ☆15Updated 3 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆63Updated 4 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 4 years ago
• AMLab-Amsterdam / DataAugmentationInterventions
  ☆26Updated 5 years ago
• vuoristo / MMAML-Regression
  ☆22Updated 4 years ago
• Lifelong-ML / Mendez2020Compositional
  ☆14Updated 3 years ago
• vuoristo / MMAML
  ☆19Updated 5 years ago