Alternatives and similar repositories for GGAE-public

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

• sjhwang82 / GenerativeAI
  Course Website for "AI618: Generative Model and Unsupervised Learning"
  ☆37Updated 2 years ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• Gabe-YHLee / IRVAE-public
  ☆28Updated 2 years ago
• sjhwang82 / DeepLearning
  Information and Materials for the Deep Learning Course
  ☆31Updated 3 years ago
• gilbutITbook / 080311
  ☆10Updated last year
• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆25Updated 3 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• aailabkaist / EMU
  (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) in IC…
  ☆12Updated 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
• sjchoi86 / gaussian-process
  A gentle introduction to Gaussian processes
  ☆30Updated 2 years ago
• KU-LIM-Lab / hdm-official
  Official code release of Hilbert Diffusion Model (PyTorch ver.)
  ☆18Updated last year
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆58Updated 4 months ago
• filteredcophy / FilteredCoPhy
  ☆10Updated 2 years ago
• jh-jeong / smoothing-multiscale
  Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
  ☆14Updated last year
• seungyeon-k / SMF-public
  [2022 ICML] A Statistical Manifold Framework for Point Cloud Data
  ☆25Updated 3 years ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆42Updated 2 years ago
• ngruver / lie-deriv
  ☆38Updated 2 years ago
• SDML-KU / qkvflow
  Neural ODE Transformers (ICLR 2025)
  ☆15Updated 3 weeks ago
• mihirp1998 / Slot-TTA
  Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.
  ☆26Updated 2 years ago
• swyoon / normalized-autoencoders
  The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).
  ☆44Updated 2 years ago
• kenza-bouzid / VAE-VampPrior
  A variational auto-encoder (VAE) framework with a new type of prior "Variational Mixture of Posteriors" prior, or VampPrior for short.
  ☆10Updated 4 years ago
• SeongokRyu / my-study-materials
  ☆13Updated 5 years ago
• Chrixtar / SRM
  [ICML 2025] Implementation of Spatial Reasoning with Denoising Models
  ☆77Updated 2 months ago
• YeongHyeon / MNIST_AttentionMap
  Attention mechanism with MNIST dataset
  ☆17Updated 4 years ago
• pairlab / v-cdn
  [NeurIPS 2020] Causal Discovery in Physical Systems from Videos
  ☆79Updated 2 years ago
• Yusufma03 / CVRL
  code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
  ☆24Updated 3 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆63Updated 11 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆82Updated last year
• 1202kbs / EBCLR
  Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper
  ☆12Updated 2 years ago