Alternatives and similar repositories for learned_optimization

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

• microsoft / mup
  maximal update parametrization (µP)
  ☆1,657Updated last year
• nnaisense / evotorch
  Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
  ☆1,113Updated last month
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆475Updated 3 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,436Updated 5 months ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆1,006Updated 2 months ago
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆371Updated 3 years ago
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆406Updated this week
• pytorch / tensordict
  TensorDict is a pytorch dedicated tensor container.
  ☆1,002Updated last week
• xl0 / lovely-tensors
  Tensors, for human consumption
  ☆1,350Updated 2 months ago
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆556Updated last week
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆623Updated 2 weeks ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆486Updated 3 years ago
• facebookresearch / torchdim
  Named tensors with first-class dimensions for PyTorch
  ☆332Updated 2 years ago
• NVIDIA-Merlin / dataloader
  The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
  ☆423Updated last year
• BlackHC / toma
  Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
  ☆438Updated last year
• google-deepmind / chex
  ☆918Updated 2 weeks ago
• google / fiddle
  ☆373Updated last week
• google-deepmind / xmanager
  A platform for managing machine learning experiments
  ☆890Updated last month
• jxbz / agd
  Automatic gradient descent
  ☆217Updated 2 years ago
• facebookresearch / dadaptation
  D-Adaptation for SGD, Adam and AdaGrad
  ☆528Updated 11 months ago
• srush / annotated-s4
  Implementation of https://srush.github.io/annotated-s4
  ☆511Updated 7 months ago
• google / CommonLoopUtils
  CLU lets you write beautiful training loops in JAX.
  ☆366Updated last week
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆2,152Updated last week
• JonasGeiping / cramming
  Cramming the training of a (BERT-type) language model into limited compute.
  ☆1,361Updated last year
• Liuhong99 / Sophia
  The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
  ☆980Updated last year
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆775Updated 2 years ago
• DarshanDeshpande / jax-models
  Unofficial JAX implementations of deep learning research papers
  ☆160Updated 3 years ago
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,473Updated 8 months ago
• vopani / jaxton
  100 exercises to learn JAX
  ☆596Updated 3 years ago
• google-deepmind / dm_pix
  PIX is an image processing library in JAX, for JAX.
  ☆432Updated 10 months ago