Alternatives and similar repositories for fractal

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

• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆173Updated 2 years ago
• BlackHC / neural_net_checklist
  ☆150Updated last year
• francoisfleuret / picogpt
  Minimal GPT (~350 lines with a simple task to test it)
  ☆62Updated 9 months ago
• KellerJordan / cifar10-airbench
  CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds
  ☆303Updated 2 months ago
• nikhilvyas / SOAP
  ☆215Updated 10 months ago
• modula-systems / modula
  🧱 Modula software package
  ☆277Updated last month
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆74Updated 2 years ago
• KindXiaoming / grow-crystals
  Getting crystal-like representations with harmonic loss
  ☆194Updated 6 months ago
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆98Updated 6 months ago
• google-deepmind / nanodo
  ☆281Updated last year
• Algomancer / Bayesian-Flow-Networks
  A simple implimentation of Bayesian Flow Networks (BFN)
  ☆240Updated last year
• jxbz / agd
  Automatic gradient descent
  ☆211Updated 2 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆214Updated 3 months ago
• greydanus / mnist1d
  A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
  ☆229Updated 11 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆492Updated 2 months ago
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆539Updated last week
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆183Updated last week
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆269Updated 3 months ago
• idiap / sigma-gpt
  σ-GPT: A New Approach to Autoregressive Models
  ☆68Updated last year
• hadivafaii / IterativeVAE
  Brain-like variational inference
  ☆58Updated 4 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆372Updated last week
• mxbi / arckit
  Tools for working with the Abstraction & Reasoning Corpus
  ☆208Updated last month
• AllanYangZhou / universal_neural_functional
  ☆52Updated last year
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆399Updated this week
• srush / raspy
  An interactive exploration of Transformer programming.
  ☆269Updated last year
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆209Updated last year
• ironjr / grokfast
  Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
  ☆563Updated last year
• nanowell / AdEMAMix-Optimizer-Pytorch
  The AdEMAMix Optimizer: Better, Faster, Older.
  ☆186Updated last year
• irregular-rhomboid / EAI-Math-Reading-Group
  Resources from the EleutherAI Math Reading Group
  ☆54Updated 7 months ago