Alternatives and similar repositories for adatune

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

• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆570Updated 2 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 4 years ago
• 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
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆310Updated 4 years ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆545Updated 4 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated 11 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆583Updated 5 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆240Updated 3 years ago
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆322Updated 2 years ago
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆329Updated 2 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• mlpen / Nystromformer
  ☆376Updated last year
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆124Updated 10 months ago
• google-research / robustness_metrics
  ☆470Updated last month
• uber-research / deconstructing-lottery-tickets
  ☆144Updated 2 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆339Updated 4 years ago
• frederick0329 / TracIn
  Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
  ☆231Updated 3 years ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆473Updated 3 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆245Updated 5 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆276Updated 2 years ago
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆466Updated 3 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆310Updated 2 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆479Updated 2 years ago
• facebookresearch / rlstructures
  RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…
  ☆260Updated 2 years ago
• haven-ai / haven-ai
  To Run, Manage and Visualize Large Scale Experiments
  ☆168Updated last year
• srush / parallax
  ☆153Updated 5 years ago
• lessw2020 / Best-Deep-Learning-Optimizers
  Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
  ☆215Updated 4 years ago
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago