Alternatives and similar repositories for transformers-lego

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

• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• ethz-spylab / superhuman-ai-consistency
  ☆30Updated 2 years ago
• google-research / jax-influence
  ☆63Updated 3 years ago
• feradauto / MoralCoT
  Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
  ☆38Updated 2 years ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆87Updated 2 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated 2 years ago
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆30Updated 3 months ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• qkaren / COLD_decoding
  ☆113Updated 3 years ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 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"
  ☆60Updated 3 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
• krandiash / quinine
  A library to create and manage configuration files, especially for machine learning projects.
  ☆79Updated 3 years ago
• NohTow / PPL-MCTS
  Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22
  ☆66Updated 3 years ago
• Silent-Zebra / twisted-smc-lm
  ☆31Updated 9 months ago
• guy-dar / embedding-space
  ☆56Updated 2 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆65Updated last year
• MadryLab / datamodels
  ☆31Updated 2 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆81Updated 3 years ago
• nrimsky / InfluenceFunctions
  Implementation of Influence Function approximations for differently sized ML models, using PyTorch
  ☆16Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 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…
  ☆40Updated 2 years ago
• mansheej / icl-task-diversity
  Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"
  ☆25Updated 2 years ago
• adamkarvonen / SAE_BoardGameEval
  ☆23Updated 11 months ago
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆132Updated 3 years ago
• jmerullo / lm_vector_arithmetic
  ☆36Updated 2 years ago
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago