Alternatives and similar repositories for vega

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

• guan-yuan / Awesome-AutoML-and-Lightweight-Models
  A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…
  ☆854Updated 3 years ago
• D-X-Y / AutoDL-Projects
  Automated deep learning algorithms implemented in PyTorch.
  ☆1,581Updated 3 years ago
• mit-han-lab / proxylessnas
  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
  ☆1,439Updated 9 months ago
• memoiry / Awesome-model-compression-and-acceleration
  ☆668Updated 3 years ago
• pzhren / Awesome-NAS
  ☆196Updated 10 months ago
• D-X-Y / Awesome-AutoDL
  Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
  ☆2,288Updated 2 years ago
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,916Updated last year
• huawei-noah / bolt
  Bolt is a deep learning library with high performance and heterogeneous flexibility.
  ☆947Updated last month
• huawei-noah / AdderNet
  Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
  ☆961Updated 3 years ago
• markdtw / awesome-architecture-search
  A curated list of awesome architecture search resources
  ☆1,186Updated 4 years ago
• yuhuixu1993 / PC-DARTS
  PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
  ☆440Updated 4 years ago
• google-research / nasbench
  NASBench: A Neural Architecture Search Dataset and Benchmark
  ☆696Updated 2 years ago
• lhyfst / knowledge-distillation-papers
  knowledge distillation papers
  ☆755Updated 2 years ago
• MingSun-Tse / Efficient-Deep-Learning
  Collection of recent methods on (deep) neural network compression and acceleration.
  ☆949Updated last month
• Eric-mingjie / rethinking-network-pruning
  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
  ☆1,514Updated 4 years ago
• xiaomi-automl / FairNAS
  FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
  ☆302Updated 10 months ago
• jackguagua / awesome-nas-papers
  Awesome Neural Architecture Search Papers
  ☆405Updated last year
• chenxin061 / pdarts
  Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
  ☆363Updated 5 years ago
• chester256 / Model-Compression-Papers
  Papers for deep neural network compression and acceleration
  ☆397Updated 3 years ago
• facebookresearch / mobile-vision
  Mobile vision models and code
  ☆911Updated 2 months ago
• khanrc / pt.darts
  PyTorch Implementation of DARTS: Differentiable Architecture Search
  ☆447Updated 2 years ago
• walkerning / aw_nas
  aw_nas: A Modularized and Extensible NAS Framework
  ☆250Updated last year
• enyac-group / single-path-nas
  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
  ☆395Updated 4 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆441Updated last year
• NiuTrans / NASPapers
  Paper lists of neural architecture search (NAS)
  ☆130Updated 3 years ago
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆806Updated last month
• JiahuiYu / slimmable_networks
  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
  ☆917Updated 2 years ago
• liuzechun / MetaPruning
  MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
  ☆354Updated 4 years ago
• ethanhe42 / channel-pruning
  Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
  ☆1,082Updated last year
• megvii-model / ShuffleNet-Series
  ☆1,498Updated 4 years ago