Alternatives and similar repositories for SparseMixer

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

• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆121Updated last year
• HazyResearch / prefix-linear-attention
  ☆57Updated last year
• berlino / gated_linear_attention
  ☆106Updated last year
• gregorbachmann / Next-Token-Failures
  ☆107Updated last year
• chijames / KERPLE
  ☆20Updated 3 years ago
• sustcsonglin / mamba-triton
  ☆51Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆29Updated last year
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆107Updated 2 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• sjelassi / transformers_ssm_copy
  ☆35Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆41Updated this week
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆74Updated last year
• Infini-AI-Lab / gsm_infinite
  ☆61Updated 6 months ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆138Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆86Updated last year
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆40Updated 2 years ago
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆104Updated last year
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆62Updated 6 months ago
• ryoungj / ObsScaling
  [NeurIPS'24 Spotlight] Observational Scaling Laws
  ☆59Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated 2 years ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• Infini-AI-Lab / Kinetics
  Kinetics: Rethinking Test-Time Scaling Laws
  ☆84Updated 5 months ago