Alternatives and similar repositories for MacroNASBenchmark:

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

• realityengines / local_search
  Local search for NAS
  ☆18Updated 4 years ago
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 4 years ago
• VITA-Group / TEGNAS
  "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…
  ☆26Updated last year
• automl / DE-NAS
  ☆20Updated 3 years ago
• VITA-Group / triple-wins
  [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
  ☆24Updated 3 years ago
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated 2 years ago
• shuyao95 / Understanding-NAS
  Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
  ☆27Updated 5 years ago
• jovitalukasik / vs_gae
  ☆10Updated 9 months ago
• yawen-d / TransNASBench
  This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …
  ☆22Updated 2 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• fmi-basel / neural-tangent-transfer
  Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.
  ☆13Updated 4 years ago
• shashankkotyan / RobustArchitectureSearch
  This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…
  ☆18Updated last year
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆44Updated 4 years ago
• AwesomeLemon / ENCAS
  NAS + Cascades | Best Paper @ GECCO 2022
  ☆16Updated last year
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆50Updated 5 years ago
• 962086838 / code-for-Asymmetric-Valley
  This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".
  ☆14Updated 5 years ago
• lightonai / contrastive-embeddings-for-neural-architectures
  Architecture embeddings independent from the parametrization of the search space
  ☆15Updated 4 years ago
• NivNayman / XNAS
  ☆18Updated 5 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago
• mary-phuong / multiexit-distillation
  ☆22Updated 5 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• chaoyanghe / MiLeNAS
  MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020
  ☆36Updated 4 years ago
• zzzxxxttt / pytorch_simple_DARTS
  A simple pytorch implementation of Differentiable Architecture Search (DARTS)
  ☆19Updated 5 years ago
• lushleaf / Network-Pruning-Greedy-Forward-Selection
  Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
  ☆21Updated 4 years ago
• automl / multi-obj-baselines
  ☆23Updated last year