Alternatives and similar repositories for GBDT-NAS

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

• angelajiang / SelectiveBackprop
  SelectiveBackprop accelerates training by dynamically prioritizing useful examples with high loss
  ☆32Updated 5 years ago
• Cerebras / online-normalization
  Online Normalization for Training Neural Networks (Companion Repository)
  ☆83Updated 4 years ago
• houlu369 / Normalized-Quantized-LSTM
  Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
  ☆31Updated last year
• gatech-sysml / CompOFA
  [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment
  ☆24Updated 2 years ago
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated last year
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆26Updated 4 years ago
• 2prime / OpenBlackBox
  ☆12Updated 5 years ago
• facebookresearch / AlphaNet
  AlphaNet Improved Training of Supernet with Alpha-Divergence
  ☆99Updated 4 years ago
• VITA-Group / ATMC
  [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …
  ☆50Updated 3 years ago
• alinlab / lookahead_pruning
  Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)
  ☆33Updated 4 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆91Updated 2 years ago
• npuichigo / pytorch_lmdb_dataset
  pytorch lmdb dataset with protobuf
  ☆52Updated 5 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• jfainberg / hashed_nets
  PyTorch implementation of HashedNets
  ☆36Updated 2 years ago
• skhu101 / GM-NAS
  Code for our ICLR'2022 paper "Generalizing Few-Shot NAS with Gradient Matching"
  ☆22Updated 2 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆44Updated 2 years ago
• eric8607242 / SGNAS
  [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  ☆39Updated 3 years ago
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆38Updated 4 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• samaonline / Orthogonal-Convolutional-Neural-Networks
  Code for paper "Orthogonal Convolutional Neural Networks".
  ☆118Updated 4 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆129Updated 3 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆105Updated 3 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 6 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• Torment123 / DFS
  ☆15Updated 5 years ago
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆105Updated 3 years ago
• ZhimingZhou / LGANs-for-reproduce
  This repo is for reproducing our results in “Lipschitz Generative Adversarial Nets”.
  ☆11Updated 4 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated last year
• YuchenJin / autolrs
  Automatic learning-rate scheduler
  ☆46Updated 4 years ago