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

• shikaiqiu / compute-better-spent
  ☆53Updated 8 months ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆67Updated 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 last year
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated 2 years ago
• ejmichaud / grokking-squared
  ☆26Updated 2 years ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated 10 months ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 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
• 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
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated 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
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated last week
• TomFrederik / unseal
  Mechanistic Interpretability for Transformer Models
  ☆51Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆75Updated last year
• lucidrains / pause-transformer
  Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…
  ☆54Updated last year
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• lucidrains / gated-state-spaces-pytorch
  Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
  ☆100Updated 2 years ago
• guy-dar / embedding-space
  ☆54Updated 2 years ago
• nrimsky / InfluenceFunctions
  Implementation of Influence Function approximations for differently sized ML models, using PyTorch
  ☆15Updated last year
• krandiash / quinine
  A library to create and manage configuration files, especially for machine learning projects.
  ☆78Updated 3 years ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 2 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
• TristanThrush / perplexity-correlations
  Simple and scalable tools for data-driven pretraining data selection.
  ☆24Updated 2 weeks ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• google-research / jax-influence
  ☆60Updated 3 years ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆29Updated last year
• UKPLab / on-emergence
  Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning
  ☆33Updated 5 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆80Updated 3 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated 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…
  ☆93Updated 3 years ago