renll / SeqBoatLinks
[NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
☆40Updated 2 years ago
Alternatives and similar repositories for SeqBoat
Users that are interested in SeqBoat are comparing it to the libraries listed below
Sorting:
- Here we will test various linear attention designs.☆62Updated last year
- ☆32Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆50Updated last year
- ☆57Updated last year
- ☆52Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- ☆26Updated 2 years ago
- ☆20Updated last year
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆58Updated last week
- Official code for the paper "Attention as a Hypernetwork"☆46Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆138Updated last year
- Efficient PScan implementation in PyTorch☆17Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- 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
- ☆83Updated 2 years ago
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- ☆106Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated 5 months ago
- Awesome Triton Resources☆38Updated 7 months ago
- ☆20Updated 3 years ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- Sparse Backpropagation for Mixture-of-Expert Training☆29Updated last year
- Token Omission Via Attention☆127Updated last year
- Utilities for Training Very Large Models☆58Updated last year
- ☆45Updated 2 years ago
- GoldFinch and other hybrid transformer components☆45Updated last year