Alternatives and similar repositories for top-sgd:

Users that are interested in top-sgd are comparing it to the libraries listed below

• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆28Updated last year
• shikaiqiu / compute-better-spent
  ☆52Updated 4 months ago
• Artur-Galstyan / statedict2pytree
  ☆40Updated 2 months ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆168Updated 2 months ago
• matthias-wright / jax-fid
  FID computation in Jax/Flax.
  ☆27Updated 7 months ago
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆30Updated last year
• NVlabs / Forecasting-Model-Search
  A system for automating selection and optimization of pre-trained models from the TAO Model Zoo
  ☆24Updated 7 months ago
• sjunhongshen / DASH
  ☆21Updated 2 years ago
• cloneofsimo / zeroshampoo
  ☆33Updated 5 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• ml-gde / jflux
  JAX Implementation of Black Forest Labs' Flux.1 family of models
  ☆29Updated 4 months ago
• facebookresearch / projUNN
  Fast training of unitary deep network layers from low-rank updates
  ☆28Updated 2 years ago
• AllanYangZhou / universal_neural_functional
  ☆49Updated last year
• radarFudan / mamba-minimal-jax
  ☆30Updated 3 months ago
• activatedgeek / tight-pac-bayes
  Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022
  ☆15Updated 2 years ago
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆23Updated last month
• vvvm23 / mezo-jax
  JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"
  ☆19Updated last year
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆27Updated 4 years ago
• nikhilvyas / SOAP
  ☆159Updated 2 months ago
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆58Updated last year
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆87Updated 8 months ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆122Updated last year
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆25Updated 2 weeks ago
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆44Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆113Updated 9 months ago
• apple / ml-ademamix
  ☆55Updated 3 months ago
• ethansmith2000 / MazeSolver
  ☆11Updated 9 months ago
• cgarciae / einop
  ☆59Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago