Alternatives and similar repositories for broken_neural_scaling_laws

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

• berlino / seq_icl
  ☆52Updated last year
• 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
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated 2 years ago
• nrimsky / InfluenceFunctions
  Implementation of Influence Function approximations for differently sized ML models, using PyTorch
  ☆15Updated last year
• ekinakyurek / google-research
  Google Research
  ☆46Updated 2 years ago
• guy-dar / embedding-space
  ☆54Updated 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
• shauli-ravfogel / rlace-icml
  ☆36Updated 2 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated 3 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated 10 months ago
• ClashLuke / tpucare
  Automatically take good care of your preemptible TPUs
  ☆36Updated 2 years ago
• google-research / jax-influence
  ☆60Updated 3 years ago
• shikaiqiu / compute-better-spent
  ☆53Updated 8 months ago
• jmerullo / lm_vector_arithmetic
  ☆35Updated 2 years ago
• TomFrederik / unseal
  Mechanistic Interpretability for Transformer Models
  ☆51Updated 3 years ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆29Updated last year
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆66Updated 2 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• HomebrewML / Olmax
  HomebrewNLP in JAX flavour for maintable TPU-Training
  ☆50Updated last year
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆91Updated 3 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 last year
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆35Updated 2 years ago
• ejmichaud / grokking-squared
  ☆26Updated 2 years ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆134Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆50Updated 3 years ago
• castorini / transformers-arithmetic
  ☆38Updated 4 years ago