Alternatives and similar repositories for hippogriff

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

• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆131Updated last month
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆91Updated 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…
  ☆53Updated 2 years ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆113Updated 11 months ago
• lucidrains / taylor-series-linear-attention
  Explorations into the recently proposed Taylor Series Linear Attention
  ☆100Updated last year
• kjslag / spacebyte
  A byte-level decoder architecture that matches the performance of tokenized Transformers.
  ☆66Updated last year
• sustcsonglin / mamba-triton
  ☆50Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆243Updated 5 months ago
• RobertCsordas / moeut
  ☆89Updated last year
• shikaiqiu / compute-better-spent
  ☆61Updated last year
• lucidrains / self-reasoning-tokens-pytorch
  Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto
  ☆57Updated last year
• epfml / DenseFormer
  ☆82Updated last year
• lucidrains / simplicial-attention
  Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…
  ☆47Updated 3 months ago
• berlino / seq_icl
  ☆53Updated last year
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆102Updated last year
• google-deepmind / randomized_positional_encodings
  Randomized Positional Encodings Boost Length Generalization of Transformers
  ☆83Updated last year
• SmerkyG / gptcore
  Fast modular code to create and train cutting edge LLMs
  ☆68Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆240Updated 2 months ago
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆103Updated 11 months ago
• lucidrains / mixture-of-attention
  Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts
  ☆119Updated last year
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆38Updated 5 months ago
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆66Updated last year
• huyphan168 / PEER
  Mixture of A Million Experts
  ☆50Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆135Updated 11 months ago
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆55Updated last year
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆127Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year