Alternatives and similar repositories for gRDA-Optimizer:

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

• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆50Updated 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 5 years ago
• mit-gfx / ContinuousParetoMTL
  [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
  ☆143Updated 3 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 3 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 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 3 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 4 years ago
• xiangning-chen / SIF
  Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"
  ☆25Updated 5 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• renqianluo / SemiNAS
  ☆26Updated 4 years ago
• xinshi-chen / l2stop
  Learning To Stop While Learning To Predict
  ☆34Updated 2 years ago
• jaehong31 / CGES
  Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017
  ☆31Updated 7 years ago
• AMLab-Amsterdam / L0_regularization
  Learning Sparse Neural Networks through L0 regularization
  ☆240Updated 4 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
• GuokaiLiu / Noisy-Labels-Problem-Collection
  This is a collection of Papers and Codes for Noisy Labels Problem.
  ☆63Updated 7 years ago
• niudd / ICML-2018-Papers
  https://icml.cc/Conferences/2018/Schedule
  ☆35Updated 6 years ago
• duchao0726 / DUAL
  Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
  ☆63Updated last year
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆38Updated 7 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).
  ☆33Updated 5 years ago
• gaosh / Structured-Bayesian-Pruning-pytorch
  pytorch implementation of Structured Bayesian Pruning
  ☆19Updated 6 years ago
• xingjunm / dimensionality-driven-learning
  Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018
  ☆58Updated 10 months ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• AnonymousMetaLearn / Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search
  ☆18Updated 5 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 5 years ago
• zhougr1993 / Rocket-Launching
  A universal and efficient framework for training well-performing light net
  ☆124Updated 7 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated last year
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆73Updated 4 years ago