Alternatives and similar repositories for ZhuSuan-PyTorch

Users that are interested in ZhuSuan-PyTorch are comparing it to the libraries listed below

• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated 2 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆21Updated last year
• weigq / iclr2022_stats
  ☆46Updated 3 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
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• ling-pan / GAFN
  ☆25Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆86Updated 2 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆84Updated last year
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆59Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆48Updated 2 years ago
• weigq / iclr2024_stats
  ICLR2024 statistics
  ☆48Updated 2 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆92Updated last year
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆36Updated 5 years ago
• ranpox / openreview-visualization
  OpenReivew Submission Visualization (ICLR 2024/2025)
  ☆153Updated last year
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• Delay-Xili / LDR
  The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…
  ☆64Updated 3 years ago
• Johswald / awesome-hypernetworks
  ☆66Updated 4 years ago
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆33Updated 2 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 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
• weigq / openview_quicklook
  ☆35Updated 9 months ago
• ryanchankh / redunet_paper
  Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
  ☆60Updated 4 years ago
• fedebotu / ICLR2023-OpenReviewData
  Crawl & Visualize ICLR 2023 Data from OpenReview
  ☆86Updated 2 years ago
• xingchenwan / nasbowl
  [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
  ☆23Updated 3 years ago