Alternatives and similar repositories for DiffusionNAG

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

• TNAS-DCS / TNAS-DCS
  ☆13Updated 3 years ago
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated last year
• xingchenwan / nasbowl
  [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
  ☆24Updated 3 years ago
• siddarthk97 / ddom
  ☆32Updated 2 years ago
• YiteWang / NTK-SAP
  [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
  ☆20Updated 2 years ago
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆65Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• rohanasthana / DiNAS
  Code for the paper- Multi-conditioned Graph Diffusion for Neural Architecture Search (https://openreview.net/forum?id=5VotySkajV)
  ☆16Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆62Updated 2 years ago
• perrying / gumbel-sinkhorn
  PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS
  ☆31Updated 5 years ago
• phython96 / GNAS-MP
  Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR'21)
  ☆52Updated 3 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• 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
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆83Updated last year
• sjunhongshen / DASH
  ☆23Updated 2 years ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆27Updated 4 months ago
• automl / hierarchical_nas_construction
  Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)
  ☆18Updated 2 years ago
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• DongkiKim95 / GDSS-Transformer
  Code Repository for GDSS using Graph Transformer
  ☆16Updated 2 years ago
• Johswald / awesome-hypernetworks
  ☆65Updated 3 years ago
• automl / HW-GPT-Bench
  HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  ☆21Updated 11 months ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆37Updated last year
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆17Updated last year
• locuslab / edge-of-stability
  ☆71Updated 11 months ago
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆105Updated 2 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• krafton-ai / mambaformer-icl
  MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248
  ☆57Updated last year