Alternatives and similar repositories for gRDA-Optimizer

Users that are interested in gRDA-Optimizer are comparing it to the libraries listed below

• AMLab-Amsterdam / L0_regularization
  Learning Sparse Neural Networks through L0 regularization
  ☆245Updated 5 years ago
• 962086838 / code-for-Asymmetric-Valley
  This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".
  ☆14Updated 6 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆39Updated 8 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 5 years ago
• mit-gfx / ContinuousParetoMTL
  [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
  ☆149Updated 4 years ago
• csyhhu / Co-Prune
  Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.
  ☆12Updated 6 years ago
• VITA-Group / Deep-K-Means-pytorch
  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
  ☆152Updated 4 years ago
• duchao0726 / DUAL
  Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
  ☆64Updated 2 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆49Updated 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 8 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 6 years ago
• AnonymousMetaLearn / Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search
  ☆18Updated 6 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆34Updated 6 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 4 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• guoyongcs / CNAS
  Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
  ☆16Updated last year
• xinshi-chen / l2stop
  Learning To Stop While Learning To Predict
  ☆34Updated 3 years ago
• xiaojiew94 / KDGAN
  ☆37Updated 3 years ago
• jovitalukasik / vs_gae
  ☆10Updated last year
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 5 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆63Updated 4 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• VITA-Group / UMEC
  [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…
  ☆39Updated 4 years ago
• BayesWatch / pytorch-moonshine
  Cheap distillation for convolutional neural networks.
  ☆35Updated 7 years ago
• gaosh / Structured-Bayesian-Pruning-pytorch
  pytorch implementation of Structured Bayesian Pruning
  ☆19Updated 7 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆44Updated 5 years ago
• xiangning-chen / SIF
  Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"
  ☆25Updated 5 years ago
• romulus0914 / NASBench-PyTorch
  A PyTorch implementation of NASBench
  ☆52Updated 2 years ago