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
  ☆86Updated 2 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆116Updated 2 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• google-deepmind / neural_testbed
  ☆192Updated 3 months ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆72Updated 3 months ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 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…
  ☆39Updated 2 years ago
• mgrankin / minGPT
  minGPT in JAX
  ☆48Updated 3 years ago
• EleutherAI / equivariance
  A framework for implementing equivariant DL
  ☆10Updated 4 years ago
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated last year
• vvvm23 / mezo-jax
  JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"
  ☆19Updated 2 years ago
• joschu / jax-exp
  ☆24Updated 6 years ago
• AllanYangZhou / universal_neural_functional
  ☆52Updated last year
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆79Updated 3 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated 2 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 3 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆57Updated 4 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 3 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• attentionneuron / attentionneuron.github.io
  ☆26Updated 3 years ago
• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 3 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆50Updated 3 months ago