Alternatives and similar repositories for mlp-icl

Users that are interested in mlp-icl are comparing it to the libraries listed below

• js-d / sim_metric
  ☆37Updated 2 years ago
• TrentBrick / SDMContinualLearner
  ☆20Updated 2 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆47Updated 4 years ago
• pnnl / torchntk
  ☆28Updated 2 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆41Updated 5 years ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆19Updated 11 months ago
• abietti / transformer-birth
  ☆19Updated last year
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆87Updated 2 years ago
• LIONS-EPFL / scion
  ☆47Updated 3 weeks ago
• Bond1995 / Markov
  Code for experiments on transformers using Markovian data.
  ☆20Updated 11 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…
  ☆40Updated 2 years ago
• sjunhongshen / DASH
  ☆23Updated 2 years ago
• MarlonBecker / MSAM
  ☆20Updated last year
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆62Updated 2 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 4 years ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆51Updated last year
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆17Updated last year
• requeima / llm_processes
  ☆66Updated 7 months ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 3 years ago
• jongharyu / neural-svd
  Official PyTorch implementation of NeuralSVD (ICML 2024)
  ☆20Updated last year
• Leiay / looped_transformer
  ☆32Updated last year
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆55Updated 4 months ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆39Updated last year