Alternatives and similar repositories for DiNAS:

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

• TNAS-DCS / TNAS-DCS
  ☆13Updated 2 years ago
• CownowAn / DiffusionNAG
  Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)
  ☆37Updated 10 months ago
• siddarthk97 / ddom
  ☆26Updated last year
• xingchenwan / nasbowl
  [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
  ☆24Updated 3 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆77Updated 6 months ago
• automl / HW-GPT-Bench
  HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  ☆18Updated last month
• Thinklab-SJTU / BiLAF
  Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"
  ☆10Updated 3 months ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆54Updated 2 years ago
• VITA-Group / ramanujan-on-pai
  [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…
  ☆12Updated last year
• AwesomeLemon / ENCAS
  NAS + Cascades | Best Paper @ GECCO 2022
  ☆16Updated last year
• siddarthk97 / bonet
  ☆11Updated 2 years ago
• saleml / continuous-gfn
  ☆23Updated last year
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆48Updated last month
• automl / multi-obj-baselines
  ☆23Updated last year
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆49Updated 3 months ago
• linusericsson / einspace
  Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"
  ☆25Updated 3 months ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• yiminzme / awesome-bayesian-optimization
  a curated list of bayesian optimization tutorials, papers, softwares
  ☆27Updated 3 years ago
• boone891214 / MEST
  [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…
  ☆18Updated 2 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆24Updated 10 months ago
• automl / hierarchical_nas_construction
  Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)
  ☆16Updated last year
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated last year
• samuelstanton / gnosis
  Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
  ☆33Updated last year
• lamda-bbo / offline-moo
  Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
  ☆17Updated 3 months ago
• YiteWang / NTK-SAP
  [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
  ☆18Updated last year
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆17Updated 2 years ago
• TianjinYellow / UGTs-LoG
  This is the official code for UGTs.
  ☆13Updated last year
• aoiang / LaMOO
  ☆28Updated 2 years ago
• Shiweiliuiiiiiii / In-Time-Over-Parameterization
  [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…
  ☆46Updated last year
• hwang595 / Cuttlefish
  The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"
  ☆43Updated last year