Alternatives and similar repositories for mamba-primer

Users that are interested in mamba-primer are comparing it to the libraries listed below

• sustcsonglin / mamba-triton
  ☆49Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆82Updated 10 months ago
• berlino / seq_icl
  ☆53Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆129Updated 8 months ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆88Updated last year
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆60Updated 2 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆87Updated last month
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• AndPotap / einsum-search
  ☆32Updated 11 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆160Updated 2 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 11 months ago
• RobertCsordas / moeut
  ☆85Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆225Updated 2 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• proger / nanokitchen
  Parallel Associative Scan for Language Models
  ☆18Updated last year
• srush / do-we-need-attention
  ☆166Updated 2 years ago
• lucidrains / taylor-series-linear-attention
  Explorations into the recently proposed Taylor Series Linear Attention
  ☆100Updated last year
• martin-marek / batch-size
  📄Small Batch Size Training for Language Models
  ☆60Updated 2 weeks ago
• Doraemonzzz / Awesome-Triton-Resources
  Awesome Triton Resources
  ☆33Updated 4 months ago
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆33Updated 10 months ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• HazyResearch / prefix-linear-attention
  ☆56Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆107Updated 3 months ago
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆16Updated last year
• sjelassi / transformers_ssm_copy
  ☆33Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• insuhan / hyper-attn
  ☆82Updated last year
• gregorbachmann / Next-Token-Failures
  ☆99Updated last year