Alternatives and similar repositories for transformer-birth

Users that are interested in transformer-birth are comparing it to the libraries listed below

• berlino / seq_icl
  ☆53Updated last year
• sjelassi / transformers_ssm_copy
  ☆33Updated last year
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆53Updated last month
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆33Updated 9 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• sustcsonglin / mamba-triton
  ☆49Updated last year
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 3 months 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…
  ☆108Updated last year
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated last year
• locuslab / edge-of-stability
  ☆70Updated 8 months ago
• Doraemonzzz / xmixers
  Xmixers: A collection of SOTA efficient token/channel mixers
  ☆11Updated last month
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆66Updated 10 months 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…
  ☆18Updated 9 months ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆68Updated 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
• kazuki-irie / kv-memory-brain
  Official Code Repository for the paper "Key-value memory in the brain"
  ☆28Updated 5 months ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• KihoPark / linear_rep_geometry
  ☆103Updated 6 months ago
• sustcsonglin / flash-linear-rnn
  Implementations of various linear RNN layers using pytorch and triton
  ☆53Updated 2 years ago
• gregorbachmann / Next-Token-Failures
  ☆90Updated last year
• aadityasingh / icl-dynamics
  ☆20Updated 4 months ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• google-research / jax-influence
  ☆60Updated 3 years ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆61Updated 2 years ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆59Updated last month
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• dtsip / in-context-learning
  ☆237Updated last year