Alternatives and similar repositories for rnngineering:

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

• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆19Updated 2 months ago
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆48Updated 3 years ago
• ethansmith2000 / TransformerExperiments
  ☆19Updated 2 weeks ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• codekansas / rwkv
  RWKV model implementation
  ☆37Updated last year
• recursal / GoldFinch-paper
  GoldFinch and other hybrid transformer components
  ☆45Updated 8 months ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• evanatyourservice / llm-jax
  Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.
  ☆17Updated 3 weeks ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆60Updated 11 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆26Updated 11 months ago
• haileyschoelkopf / triton-index
  See https://github.com/cuda-mode/triton-index/ instead!
  ☆11Updated 11 months ago
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆23Updated 2 months ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆43Updated 6 months ago
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆36Updated last year
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆24Updated 5 months ago
• acosharma / elita-transformer
  Official Repository for Efficient Linear-Time Attention Transformers.
  ☆18Updated 10 months ago
• AndPotap / einsum-search
  ☆31Updated 6 months ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆36Updated last year
• Doraemonzzz / nanoTransNormer
  ☆11Updated last year
• HazyResearch / embroid
  Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  ☆11Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• yikangshen / megablocks
  ☆19Updated 10 months ago
• irhum / hyena
  JAX/Flax implementation of the Hyena Hierarchy
  ☆34Updated last year
• google-deepmind / spectral_ssm
  ☆31Updated last year
• UKPLab / on-emergence
  Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning
  ☆33Updated 3 months ago
• lucidrains / holodeck-pytorch
  Implementation of a holodeck, written in Pytorch
  ☆17Updated last year
• srush / drop7
  ☆18Updated 11 months ago
• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆18Updated last month
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆16Updated last year
• catid / spectral_ssm
  Implementation of Spectral State Space Models
  ☆16Updated last year