Alternatives and similar repositories for nas-without-training:

Users that are interested in nas-without-training are comparing it to the libraries listed below

• google-research / nasbench
  NASBench: A Neural Architecture Search Dataset and Benchmark
  ☆693Updated last year
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆307Updated 2 years ago
• VITA-Group / TENAS
  [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …
  ☆167Updated 3 years ago
• automl / NASLib
  NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …
  ☆542Updated 4 months ago
• human-analysis / neural-architecture-transfer
  Neural Architecture Transfer (Arxiv'20), PyTorch Implementation
  ☆156Updated 4 years ago
• D-X-Y / NATS-Bench
  TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
  ☆178Updated 2 years ago
• SamsungLabs / zero-cost-nas
  Zero-Cost Proxies for Lightweight NAS
  ☆150Updated last year
• automl / RobustDARTS
  Understanding and Robustifying DARTS
  ☆155Updated 11 months ago
• xiaoiker / NAS-With-Code
  Neural Architecture Search (NAS) papers with code
  ☆157Updated 3 years ago
• ganguli-lab / Synaptic-Flow
  ☆224Updated 7 months ago
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆319Updated 2 years ago
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆428Updated last year
• yuhuixu1993 / PC-DARTS
  PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
  ☆436Updated 4 years ago
• khanrc / pt.darts
  PyTorch Implementation of DARTS: Differentiable Architecture Search
  ☆444Updated 2 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 5 years ago
• antoyang / NAS-Benchmark
  [ICLR 2020] NAS evaluation is frustratingly hard
  ☆149Updated last year
• D-X-Y / AutoDL-Projects
  Automated deep learning algorithms implemented in PyTorch.
  ☆1,575Updated 2 years ago
• titu1994 / neural-architecture-search
  Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
  ☆434Updated 3 years ago
• facebookresearch / ppuda
  Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
  ☆485Updated last year
• microsoft / archai
  Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
  ☆474Updated 4 months ago
• D-X-Y / NAS-Bench-201
  NAS-Bench-201 API and Instruction
  ☆627Updated 4 years ago
• automl / nasbench301
  ☆75Updated 11 months ago
• SNAS-Series / SNAS-Series
  This repo contains the PyTorch implementation of the SNAS-Series papers
  ☆149Updated 4 years ago
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆137Updated 4 years ago
• facebookresearch / LaMCTS
  The release codes of LA-MCTS with its application to Neural Architecture Search.
  ☆471Updated 2 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆160Updated 2 years ago
• TimDettmers / sparse_learning
  Sparse learning library and sparse momentum resources.
  ☆379Updated 2 years ago
• automl / nas_benchmarks
  ☆95Updated 5 years ago
• enyac-group / single-path-nas
  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
  ☆396Updated 4 years ago
• xiaomi-automl / FairDARTS
  Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
  ☆175Updated last year