Alternatives and similar repositories for neural_net_checklist

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

• evanatyourservice / kron_torch
  An implementation of PSGD Kron second-order optimizer for PyTorch
  ☆96Updated 3 months ago
• epistoteles / TensorHue
  TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor conte…
  ☆120Updated 8 months ago
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆217Updated last year
• KindXiaoming / grow-crystals
  Getting crystal-like representations with harmonic loss
  ☆193Updated 6 months ago
• probabilists / azula
  Diffusion models in PyTorch
  ☆111Updated last month
• facebookresearch / exca
  Exca - Execution and caching tool for python
  ☆107Updated this week
• modula-systems / modula
  🧱 Modula software package
  ☆291Updated 2 months ago
• fferflo / einx
  Universal Notation for Tensor Operations in Python.
  ☆438Updated 6 months ago
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆147Updated 3 weeks ago
• nanowell / AdEMAMix-Optimizer-Pytorch
  The AdEMAMix Optimizer: Better, Faster, Older.
  ☆186Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆188Updated last week
• nikhilvyas / SOAP
  ☆218Updated 10 months ago
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆543Updated this week
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆217Updated 4 months ago
• google-deepmind / nanodo
  ☆283Updated last year
• rbalestr-lab / stable-pretraining
  Reliable, minimal and scalable library for pretraining foundation and world models
  ☆71Updated this week
• lucidrains / pytorch-custom-utils
  Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…
  ☆123Updated last year
• apple / ml-sigma-reparam
  ☆309Updated last year
• kvfrans / jax-diffusion-transformer
  Implementation of Diffusion Transformer (DiT) in JAX
  ☆295Updated last year
• francoisfleuret / picogpt
  Minimal GPT (~350 lines with a simple task to test it)
  ☆62Updated 10 months ago
• HomebrewML / HeavyBall
  Efficient optimizers
  ☆274Updated last week
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆112Updated 10 months ago
• KellerJordan / cifar10-airbench
  CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds
  ☆320Updated 3 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆375Updated 2 weeks ago
• Quentin-Anthony / torch-profiling-tutorial
  ☆510Updated 2 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆82Updated last year
• yobibyte / report
  Because we don't want a jupyter notebook mess...
  ☆61Updated 4 months ago
• Artur-Galstyan / statedict2pytree
  ☆44Updated 2 months ago
• apoorvkh / torchrunx
  Easily run PyTorch on multiple GPUs & machines
  ☆47Updated 2 weeks ago
• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆311Updated this week