Alternatives and similar repositories for ADAM-ADMM

Users that are interested in ADAM-ADMM are comparing it to the libraries listed below

• 1adrianb / binary-nas
  ☆35Updated 5 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• ChanganVR / ConstraintAwareCompression
  [ECCV18] Constraint-Aware Deep Neural Network Compression
  ☆12Updated 6 years ago
• GATECH-EIC / E2Train
  [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
  ☆21Updated 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
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• ARM-software / scalpel
  This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…
  ☆41Updated 6 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago
• kumasento / gconv-prune
  Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.0934…
  ☆8Updated 3 years ago
• LaVieEnRoseSMZ / OQA
  ☆28Updated 4 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
• tajanthan / pmf
  Proximal Mean-field for Neural Network Quantization
  ☆22Updated 5 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• ZiweiWangTHU / GMPQ
  This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…
  ☆25Updated 3 years ago
• wenwei202 / autogrow
  AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)
  ☆39Updated 5 years ago
• romulus0914 / NASBench-PyTorch
  A PyTorch implementation of NASBench
  ☆52Updated 2 years ago
• eric8607242 / SGNAS
  [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  ☆38Updated 3 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 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
• tanglang96 / DDPNAS
  Dynamic Distribution Pruning for Efficient Network Architecture Search
  ☆48Updated 5 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆50Updated 5 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• xiaomi-automl / MixPath
  MixPath: A Unified Approach for One-shot Neural Architecture Search
  ☆29Updated 4 years ago
• mil-ad / studying-binary-neural-networks
  ☆53Updated 6 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆42Updated 6 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• AnonymousMetaLearn / Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search
  ☆18Updated 5 years ago
• kcyu2014 / multi-model-forgetting
  ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting
  ☆13Updated 6 years ago