Alternatives and similar repositories for NAS-Bench-360

Users that are interested in NAS-Bench-360 are comparing it to the libraries listed below

• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• automl / nasbench301
  ☆78Updated last year
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 4 years ago
• realityengines / local_search
  Local search for NAS
  ☆18Updated 4 years ago
• automl / multi-obj-baselines
  ☆23Updated last year
• fmsnew / nas-bench-nlp-release
  ☆29Updated last year
• lushleaf / Network-Pruning-Greedy-Forward-Selection
  Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
  ☆21Updated 4 years ago
• AIoT-MLSys-Lab / arch2vec
  [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…
  ☆49Updated 4 years ago
• automl / nes
  Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
  ☆33Updated last year
• automl / nasbench-1shot1
  ☆67Updated 4 years ago
• sjunhongshen / DASH
  ☆23Updated 2 years ago
• xingchenwan / nasbowl
  [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
  ☆24Updated 3 years ago
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆105Updated 5 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 3 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆42Updated 4 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆50Updated 4 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆64Updated 4 years ago
• JingtongSu / sanity-checking-pruning
  Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
  ☆41Updated 4 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆53Updated 4 years ago
• prolearner / hypertorch
  ☆124Updated last year
• verbiiyo / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆60Updated 3 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆43Updated 6 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆41Updated 4 years ago
• cemanil / LNets
  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
  ☆57Updated 5 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• automl / nas_benchmarks
  ☆97Updated 6 years ago
• pipilurj / BONAS
  ☆35Updated 4 years ago
• chenwydj / learning-to-learn-by-gradient-descent-by-gradient-descent
  Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
  ☆67Updated 2 years ago
• VITA-Group / TEGNAS
  "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…
  ☆27Updated 2 years ago