Alternatives and similar repositories for LinearTransformer

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

• locuslab / edge-of-stability
  ☆70Updated 8 months ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆61Updated 2 years ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆22Updated 3 years ago
• LIONS-EPFL / scion
  ☆33Updated 3 weeks 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…
  ☆17Updated 8 months ago
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆60Updated 4 months ago
• dtsip / in-context-learning
  ☆235Updated last year
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆35Updated last year
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• MarlonBecker / MSAM
  ☆19Updated last year
• Leiay / looped_transformer
  ☆30Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆102Updated 2 months ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆115Updated 6 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…
  ☆37Updated 2 years ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆337Updated 3 weeks ago
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆29Updated 9 months ago
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆32Updated 9 months ago
• Silent-Zebra / twisted-smc-lm
  ☆30Updated 4 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆17Updated 9 months ago
• Bond1995 / Markov
  Code for experiments on transformers using Markovian data.
  ☆18Updated 8 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆103Updated 2 years ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆53Updated last month
• berlino / seq_icl
  ☆53Updated last year
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆63Updated last year
• jongharyu / neural-svd
  ☆20Updated 10 months ago
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆158Updated last month
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆54Updated 3 months ago