rohanasthana / DiNASLinks
Code for the paper- Multi-conditioned Graph Diffusion for Neural Architecture Search (https://openreview.net/forum?id=5VotySkajV)
☆16Updated last year
Alternatives and similar repositories for DiNAS
Users that are interested in DiNAS are comparing it to the libraries listed below
Sorting:
- ☆13Updated 3 years ago
- Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)☆43Updated last year
- Neural Architecture Search + Cascades | Best Paper @ GECCO 2022☆15Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆83Updated last year
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆13Updated 9 months ago
- Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".☆17Updated last year
- ☆32Updated 2 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆20Updated 2 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆23Updated 7 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆15Updated 10 months ago
- ☆22Updated last year
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆96Updated 11 months ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)☆18Updated 2 years ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆27Updated 4 months ago
- Official Repository for ICLR 2025 (Oral) BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models☆27Updated 8 months ago
- [CVPR 2022] Implementation of "Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search"☆23Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆37Updated 2 years ago
- ☆59Updated last month
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆32Updated last year
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated 2 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- ☆29Updated 3 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Updated last year