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
• joschu / jax-exp
  ☆24Updated 6 years ago
• cgarciae / einop
  ☆60Updated 3 years ago
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆39Updated 11 months ago
• wattenberg / superposition
  Code associated to papers on superposition (in ML interpretability)
  ☆28Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆69Updated 2 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆61Updated 3 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆24Updated 4 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 3 years ago
• vvvm23 / mezo-jax
  JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"
  ☆19Updated last year
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆36Updated 3 years ago
• samacqua / LARC
  Language-annotated Abstraction and Reasoning Corpus
  ☆84Updated last year
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆36Updated 2 years ago
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 2 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆108Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆123Updated 8 months ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆68Updated last week
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆48Updated last year
• mle-infrastructure / mle-scheduler
  Lightweight Cluster/Cloud VM Job Management 🚀
  ☆41Updated 7 months ago
• srush / Tensor-Puzzles-Penzai
  ☆20Updated 11 months ago
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆31Updated 9 months ago
• ClashLuke / tpucare
  Automatically take good care of your preemptible TPUs
  ☆36Updated last year
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 4 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆171Updated this week
• AllanYangZhou / universal_neural_functional
  ☆49Updated last year