Alternatives and similar repositories for GBDT-NAS

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

• Cerebras / online-normalization
  Online Normalization for Training Neural Networks (Companion Repository)
  ☆86Updated 4 years ago
• angelajiang / SelectiveBackprop
  SelectiveBackprop accelerates training by dynamically prioritizing useful examples with high loss
  ☆32Updated 5 years ago
• houlu369 / Normalized-Quantized-LSTM
  Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
  ☆31Updated last year
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆40Updated 5 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆27Updated 6 years ago
• npuichigo / pytorch_lmdb_dataset
  pytorch lmdb dataset with protobuf
  ☆52Updated 6 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated 2 years ago
• NingMiao / InteL-VAEs
  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.
  ☆18Updated 4 years ago
• YuchenJin / autolrs
  Automatic learning-rate scheduler
  ☆46Updated 4 years ago
• facebookresearch / AlphaNet
  AlphaNet Improved Training of Supernet with Alpha-Divergence
  ☆100Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• L0SG / NanoFlow
  PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
  ☆66Updated 5 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆20Updated 6 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆43Updated 3 years ago
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated last year
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆106Updated 4 years ago
• gatech-sysml / CompOFA
  [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment
  ☆25Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆70Updated 6 years ago
• ofsoundof / learning_filter_basis
  Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019
  ☆18Updated 2 weeks ago
• 2prime / OpenBlackBox
  ☆12Updated 6 years ago
• jaywalnut310 / Vector-Quantized-Autoencoders
  Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
  ☆15Updated 6 years ago
• wenwei202 / iss-rnns
  Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
  ☆74Updated 5 years ago
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆25Updated 5 years ago
• VITA-Group / Sandwich-Batch-Normalization
  [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…
  ☆51Updated 4 years ago
• eric8607242 / SGNAS
  [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  ☆39Updated 3 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆130Updated 4 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 6 years ago