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
  ☆57Updated last year
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• EleutherAI / w2s
  ☆20Updated 3 months 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…
  ☆34Updated last year
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆13Updated 2 months ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆9Updated last year
• js-d / sim_metric
  ☆35Updated last year
• ethz-spylab / superhuman-ai-consistency
  ☆28Updated last year
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated last year
• jmerullo / lm_vector_arithmetic
  ☆29Updated last year
• lxuechen / ml-swissknife
  An ML research codebase built with friends :)
  ☆22Updated 4 months ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆54Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆28Updated last year
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆44Updated 2 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆15Updated 3 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 3 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 2 years ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆27Updated 7 months ago
• google-research / jax-influence
  ☆58Updated 3 years ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆18Updated last week
• shauli-ravfogel / rlace-icml
  ☆35Updated 2 years ago
• mfinzi / residual-pathway-priors
  ☆17Updated 3 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 4 years ago
• thudzj / ELLA
  Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
  ☆16Updated 2 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆23Updated 4 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…
  ☆100Updated last year
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• sjunhongshen / DASH
  ☆21Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆44Updated last year