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
  ☆83Updated last year
• cgarciae / einop
  ☆60Updated 3 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆69Updated 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…
  ☆36Updated 2 years ago
• joschu / jax-exp
  ☆24Updated 6 years ago
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 2 years ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆70Updated 2 weeks ago
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆39Updated last year
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆36Updated 3 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆48Updated last year
• yashbonde / rasp
  Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.
  ☆53Updated 3 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆57Updated last year
• srush / Tensor-Puzzles-Penzai
  ☆20Updated last year
• attentionneuron / attentionneuron.github.io
  ☆26Updated 2 years ago
• mle-infrastructure / mle-scheduler
  Lightweight Cluster/Cloud VM Job Management 🚀
  ☆41Updated 8 months ago
• samacqua / LARC
  Language-annotated Abstraction and Reasoning Corpus
  ☆86Updated last year
• AllanYangZhou / universal_neural_functional
  ☆49Updated last year
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆31Updated 10 months ago
• ClashLuke / tpucare
  Automatically take good care of your preemptible TPUs
  ☆36Updated 2 years ago
• jxbz / nero
  👑 Pytorch code for the Nero optimiser.
  ☆20Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• wattenberg / superposition
  Code associated to papers on superposition (in ML interpretability)
  ☆28Updated 2 years ago
• rahul13ramesh / compositional_capabilities
  Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
  ☆10Updated 10 months ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆174Updated this week
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆78Updated 2 years ago