Alternatives and similar repositories for transformers-lego

Users that are interested in transformers-lego are comparing it to the libraries listed below

• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• rahul13ramesh / compositional_capabilities
  Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
  ☆10Updated 11 months ago
• ethz-spylab / superhuman-ai-consistency
  ☆29Updated last year
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆18Updated 4 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• EleutherAI / w2s
  ☆23Updated 8 months ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆11Updated 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…
  ☆37Updated 2 years ago
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆16Updated 4 months ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• lxuechen / ml-swissknife
  An ML research codebase built with friends :)
  ☆24Updated 9 months ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated 11 months ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated last year
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆19Updated 4 months ago
• UW-Madison-Lee-Lab / Expressive_Power_of_LoRA
  Code for "The Expressive Power of Low-Rank Adaptation".
  ☆20Updated last year
• google-research / jax-influence
  ☆60Updated 3 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated last year
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• MichaelArbel / GeneralizedEBM
  ☆53Updated 10 months ago
• Silent-Zebra / twisted-smc-lm
  ☆29Updated 2 months ago
• JonasGeiping / dataaugs
  ☆18Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• 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
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• js-d / sim_metric
  ☆35Updated last year