Alternatives and similar repositories for grokking-at-the-edge-of-numerical-stability

Users that are interested in grokking-at-the-edge-of-numerical-stability are comparing it to the libraries listed below

• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆128Updated 11 months ago
• epfml / DenseFormer
  ☆82Updated last year
• zaydzuhri / softpick-attention
  Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"
  ☆84Updated 3 weeks ago
• dvruette / barrel-rec-pytorch
  ☆53Updated last year
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆102Updated 9 months ago
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆109Updated 5 months ago
• bloc97 / DeMo
  DeMo: Decoupled Momentum Optimization
  ☆193Updated 10 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆164Updated 3 months ago
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆86Updated 5 months ago
• kjslag / spacebyte
  A byte-level decoder architecture that matches the performance of tokenized Transformers.
  ☆66Updated last year
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆191Updated 10 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated 10 months ago
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆105Updated 6 months ago
• main-horse / hnet
  H-Net Dynamic Hierarchical Architecture
  ☆80Updated 3 weeks ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆129Updated 9 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆229Updated last week
• m-a-n-i-f-e-s-t / power-attention
  Attention Kernels for Symmetric Power Transformers
  ☆120Updated last week
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆185Updated 8 months ago
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆193Updated last year
• BlinkDL / modded-nanogpt-rwkv
  RWKV-7: Surpassing GPT
  ☆95Updated 10 months ago
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆128Updated last year
• RobertCsordas / moeut
  ☆85Updated last year
• HazyResearch / train-tk
  train with kittens!
  ☆62Updated 11 months ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆246Updated 8 months ago
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆84Updated 9 months ago
• shikaiqiu / compute-better-spent
  ☆58Updated last year
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• proger / hippogriff
  Griffin MQA + Hawk Linear RNN Hybrid
  ☆89Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆240Updated 3 months ago
• huyphan168 / PEER
  Mixture of A Million Experts
  ☆48Updated last year