CownowAn / DiffusionNAGLinks
Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)
☆43Updated last year
Alternatives and similar repositories for DiffusionNAG
Users that are interested in DiffusionNAG are comparing it to the libraries listed below
Sorting:
- ☆13Updated 2 years ago
- ☆30Updated last year
- Code for the paper- Multi-conditioned Graph Diffusion for Neural Architecture Search (https://openreview.net/forum?id=5VotySkajV)☆13Updated 8 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆80Updated 10 months ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated 10 months ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆57Updated 7 months ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆18Updated 2 years ago
- Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)☆17Updated last year
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆20Updated 6 months ago
- ☆28Updated this week
- Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling".☆29Updated 2 months ago
- ☆35Updated 3 years ago
- Can GPT-4 Perform Neural Architecture Search?☆87Updated last year
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆23Updated 2 months ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆24Updated last year
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆104Updated 11 months ago
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆39Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…☆13Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- ☆11Updated 2 years ago
- ☆22Updated 2 years ago
- Code Repository for GDSS using Graph Transformer☆14Updated last year
- Official implementation of Transformer Neural Processes☆76Updated 2 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 4 years ago
- ☆13Updated 2 years ago
- Deep Learning & Information Bottleneck☆60Updated last year
- ☆28Updated last year
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated 2 years ago