Alternatives and similar repositories for GGAE-public

Users that are interested in GGAE-public are comparing it to the libraries listed below

• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆25Updated 3 years ago
• Gabe-YHLee / IRVAE-public
  ☆28Updated 3 years ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• bbuing9 / DND
  Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)
  ☆12Updated 2 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• sjhwang82 / GenerativeAI
  Course Website for "AI618: Generative Model and Unsupervised Learning"
  ☆37Updated 2 years ago
• csmile-1006 / REDS_agent
  Subtask-Aware Visual Reward Learning from Segmented Demonstrations (ICLR 2025 accepted)
  ☆18Updated 8 months ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆43Updated 2 years ago
• julian-8897 / hyperbolic-latent-vae
  Variational Autoencoder with non-euclidean (hyperbolic) latent space
  ☆12Updated 3 years ago
• mihirp1998 / Slot-TTA
  Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.
  ☆27Updated 2 years ago
• Yusufma03 / CVRL
  code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
  ☆24Updated 3 years ago
• SeongokRyu / my-study-materials
  ☆13Updated 5 years ago
• sjhwang82 / DeepLearning
  Information and Materials for the Deep Learning Course
  ☆31Updated 3 years ago
• filteredcophy / FilteredCoPhy
  ☆10Updated 3 years ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆60Updated 6 months ago
• KU-LIM-Lab / hdm-official
  Official code release of Hilbert Diffusion Model (PyTorch ver.)
  ☆19Updated last year
• gilbutITbook / 080311
  ☆10Updated 2 years ago
• jh-jeong / smoothing-multiscale
  Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
  ☆14Updated last year
• aailabkaist / EMU
  (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) in IC…
  ☆12Updated last year
• ghliu / mdm
  Mirror Diffusion Models, NeurIPS 2023
  ☆34Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated this week
• jihoontack / SiMT
  Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)
  ☆23Updated 3 years ago
• SDML-KU / qkvflow
  Neural ODE Transformers (ICLR 2025)
  ☆17Updated 3 months ago
• yiqiwang8177 / Official-codebase-for-Decision-Transducer
  This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…
  ☆11Updated 2 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆21Updated last year
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 4 years ago
• 1202kbs / EBCLR
  Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper
  ☆13Updated 3 years ago
• hengyuan-hu / jax-vs-pytorch
  ☆13Updated 9 months ago
• ling-pan / GAFN
  ☆25Updated last year