Alternatives and similar repositories for Best-Deep-Learning-Optimizers

Users that are interested in Best-Deep-Learning-Optimizers are comparing it to the libraries listed below

• mgrankin / over9000
  Over9000 optimizer
  ☆426Updated 2 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆78Updated 4 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆276Updated 2 years ago
• lessw2020 / Ranger21
  Ranger deep learning optimizer rewrite to use newest components
  ☆329Updated last year
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated last year
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆329Updated 2 years ago
• PhoenixDL / rising
  Provides everything needed for high performance data loading and augmentation in pytorch.
  ☆319Updated last year
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆180Updated 3 years ago
• pabloppp / pytorch-tools
  Useful PyTorch functions and modules that are not implemented in PyTorch by default
  ☆187Updated last year
• lukemelas / do-you-even-need-attention
  Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
  ☆485Updated 4 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆240Updated 3 years ago
• vballoli / nfnets-pytorch
  NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
  ☆345Updated last year
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆122Updated 3 years ago
• benjs / nfnets_pytorch
  Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
  ☆159Updated 4 years ago
• lucidrains / nystrom-attention
  Implementation of Nyström Self-attention, from the paper Nyströmformer
  ☆135Updated 2 months ago
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 4 years ago
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆322Updated 2 years ago
• lucidrains / feedback-transformer-pytorch
  Implementation of Feedback Transformer in Pytorch
  ☆107Updated 4 years ago
• bonlime / pytorch-tools
  Tool box for PyTorch
  ☆188Updated last month
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆479Updated 2 years ago
• frgfm / torch-scan
  Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
  ☆218Updated 2 months ago
• TezRomacH / layer-to-layer-pytorch
  PyTorch implementation of L2L execution algorithm
  ☆107Updated 2 years ago
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆105Updated 3 years ago
• lonePatient / lookahead_pytorch
  pytorch implement of Lookahead Optimizer
  ☆190Updated 2 years ago
• alphadl / lookahead.pytorch
  lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
  ☆336Updated 5 years ago
• NVIDIA / transformer-ls
  Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).
  ☆225Updated 3 years ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆545Updated 4 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 3 years ago
• podgorskiy / DareBlopy
  Data Reading Blocks for Python
  ☆105Updated 4 years ago