Alternatives and similar repositories for CGES

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

• chengtaipu / lowrankcnn
  Low-rank convolutional neural networks
  ☆97Updated 9 years ago
• necludov / group-sparsity-sbp
  Structured Bayesian Pruning, NIPS 2017
  ☆74Updated 4 years ago
• ruihangdu / PyTorch-Deep-Compression
  A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
  ☆40Updated 6 years ago
• DNNToolBox / Net-Trim-v1
  Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
  ☆60Updated 6 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• Dejiao2018 / GrOWL
  Learning to share: simultaneous parameter tying and sparsification in deep learning
  ☆12Updated 6 years ago
• princeton-vl / DecorrelatedBN
  Code for Decorrelated Batch Normalization
  ☆82Updated 7 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 6 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 5 years ago
• bobye / batchnorm_prune
  Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
  ☆30Updated 5 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 6 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆118Updated 6 years ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆41Updated 7 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 5 years ago
• jyh2986 / Active-Convolution
  Active Convolution
  ☆61Updated 8 years ago
• andyhahaha / Convolutional-Neural-Network-Compression-Survey
  ☆34Updated 8 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 5 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆107Updated 8 years ago
• maestrojeong / Deep-Hash-Table-ICML18
  "Efficient end-to-end learning for quantizable representations" accepted at ICML2018
  ☆66Updated 6 years ago
• arberzela / EfficientNAS
  Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
  ☆49Updated 5 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆50Updated 5 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆38Updated 7 years ago
• DNNToolBox / Net-Trim
  The latest version of Net-Trim which solves the actual constrained problem
  ☆24Updated 4 years ago
• irapha / replayed_distillation
  Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)
  ☆81Updated 7 years ago
• TuSimple / sparse-structure-selection
  ☆87Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆70Updated 7 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago