Alternatives and similar repositories for easy-to-hard:

Users that are interested in easy-to-hard are comparing it to the libraries listed below

• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆82Updated last year
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 2 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆60Updated 3 years ago
• AllanYangZhou / universal_neural_functional
  ☆49Updated last year
• joschu / jax-exp
  ☆24Updated 6 years ago
• g-benton / loss-surface-simplexes
  ☆98Updated 3 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆72Updated 2 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆35Updated 2 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆24Updated 4 years ago
• wattenberg / superposition
  Code associated to papers on superposition (in ML interpretability)
  ☆28Updated 2 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆98Updated last year
• srush / anynp
  Proof-of-concept of global switching between numpy/jax/pytorch in a library.
  ☆18Updated 8 months ago
• cgarciae / einop
  ☆59Updated 2 years ago
• yashbonde / rasp
  Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.
  ☆48Updated 3 years ago
• google-deepmind / neural_testbed
  ☆191Updated 9 months ago
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆31Updated 8 months ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆47Updated 3 years ago
• open-thought / arc-agi-2
  Building the cognitive-core to solve ARC-AGI-2
  ☆18Updated last month
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆66Updated 3 months ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆48Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆35Updated 3 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 5 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆168Updated 2 months ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 2 years ago
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆37Updated 10 months ago
• cgarciae / jax_metrics
  A metrics library for the JAX ecosystem
  ☆39Updated last year
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 4 years ago