Alternatives and similar repositories for quantized_meanfield

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

• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆33Updated 5 years ago
• tajanthan / pmf
  Proximal Mean-field for Neural Network Quantization
  ☆22Updated 5 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• XinDongol / DNNAC
  All about acceleration and compression of Deep Neural Networks
  ☆33Updated 5 years ago
• mil-ad / studying-binary-neural-networks
  ☆52Updated 6 years ago
• csyhhu / L-DNQ
  Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
  ☆41Updated 6 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆70Updated 5 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆31Updated last year
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆74Updated 5 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆39Updated 3 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago
• XinDongol / BENN-PyTorch
  Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
  ☆31Updated 5 years ago
• bermanmaxim / AOWS
  Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020
  ☆36Updated 5 years ago
• wenwei202 / autogrow
  AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)
  ☆40Updated 6 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 7 years ago
• Torment123 / DFS
  ☆15Updated 5 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• bohanzhuang / Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks
  This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
  ☆20Updated 3 years ago
• 1adrianb / binary-nas
  ☆35Updated 5 years ago
• hyang1990 / model_based_energy_constrained_compression
  Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"
  ☆18Updated 6 years ago
• kaiqzhan / ADAM-ADMM
  A Unified, Systematic Framework of Structured Weight Pruning for DNNs
  ☆22Updated 7 years ago
• evcu / pytorchpruner
  ☆22Updated 7 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆55Updated 5 years ago