Alternatives and similar repositories for understanding-momentum

Users that are interested in understanding-momentum are comparing it to the libraries listed below

• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• d2l-ai / d2l-book-colab
  Colab notebooks for d2l-book
  ☆11Updated 5 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 5 years ago
• google-research / noisy-fewshot-learning
  ☆23Updated 4 years ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• ChristopherSweeney / SlimNets
  Various implementations and experimentation for deep neural network model compression
  ☆24Updated 6 years ago
• wy1iu / NSL
  Implementation for <Neural Similarity Learning> in NeurIPS'19.
  ☆33Updated 4 years ago
• guoyongcs / NATv2
  Implementation for NATv2.
  ☆23Updated 4 years ago
• moskomule / ssl-suite
  SSL using PyTorch
  ☆49Updated 5 years ago
• paper-submissions / norm_matters
  ☆13Updated 7 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• EvgenyKashin / non-leaking-conv
  Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch
  ☆14Updated 4 years ago
• vacancy / AdvancedIndexing-PyTorch
  (Batched) advanced indexing for PyTorch.
  ☆53Updated 4 months ago
• markwwen / ServingAgent
  A simple middleware to improving GPU utilization then speedup online inference.
  ☆19Updated 4 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 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
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• WarBean / emp
  Easy Multiprocessing for Python
  ☆43Updated 4 years ago
• switchablenorms / AdaX
  AdaX: Adaptive Gradient Descent with Exponential Long Term Momery
  ☆34Updated 5 years ago
• Yonghongwei / Advanced-optimizer-with-Gradient-Centralization
  Advanced optimizer with Gradient-Centralization
  ☆21Updated 4 years ago
• tmbdev-archive / pytorch-imagenet-wds
  ☆25Updated 4 years ago
• dot-delta / Meta-SGD
  Meta-SGD Algorithms Implementation
  ☆22Updated 9 months ago
• t-vi / acdl2020
  ☆35Updated 4 years ago
• gan3sh500 / revrnn
  Reversible Recurrent Neural Network Pytorch Implementation
  ☆21Updated 7 years ago
• rmlin / CoMHE
  Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.
  ☆24Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• LIJUNYI95 / SuperAdam
  Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'
  ☆17Updated 3 years ago