Alternatives and similar repositories for mamba-scans

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

• sustcsonglin / mamba-triton
  ☆48Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆16Updated last year
• proger / nanokitchen
  Parallel Associative Scan for Language Models
  ☆18Updated last year
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• sjelassi / transformers_ssm_copy
  ☆32Updated last year
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago
• HazyResearch / prefix-linear-attention
  ☆55Updated last year
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆66Updated 9 months ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆75Updated 8 months ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆84Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• srush / mamba-primer
  ☆37Updated last year
• berlino / seq_icl
  ☆53Updated last year
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆13Updated 3 years ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆68Updated 11 months ago
• automl / unlocking_state_tracking
  Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…
  ☆15Updated 4 months ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 9 months ago
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆37Updated last year
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆32Updated 8 months ago
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆66Updated last year
• zomux / lanmt-ebm
  lanmt ebm
  ☆12Updated 5 years ago
• samblouir / birdie
  ☆13Updated last month
• srush / LLM-Talk
  ☆51Updated last year