Alternatives and similar repositories for compositional_capabilities

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

• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆37Updated 2 years ago
• EkdeepSLubana / MMC
  Codebase for Mechanistic Mode Connectivity
  ☆14Updated last year
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• mfinzi / residual-pathway-priors
  ☆19Updated 3 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆11Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year
• shikaiqiu / compute-better-spent
  ☆53Updated 8 months ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• yizhangzzz / transformers-lego
  ☆18Updated 2 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆36Updated last year
• MichaelArbel / GeneralizedEBM
  ☆53Updated 10 months ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• flukeskywalker / nanoDD
  Simple Scalable Discrete Diffusion for text in PyTorch
  ☆33Updated 8 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• AndPotap / einsum-search
  ☆32Updated 8 months ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated 2 years ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆18Updated 4 years ago
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated 11 months ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 4 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• ejmichaud / grokking-squared
  ☆26Updated 2 years ago
• srush / Tensor-Puzzles-Penzai
  ☆20Updated last year