lsj2408 / URPELinks
[NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)
☆34Updated 2 years ago
Alternatives and similar repositories for URPE
Users that are interested in URPE are comparing it to the libraries listed below
Sorting:
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- [ICLR 2023] Official implementation of Transnormer in our ICLR 2023 paper - Toeplitz Neural Network for Sequence Modeling☆79Updated last year
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 3 months ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆62Updated 3 years ago
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated 11 months ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆82Updated last year
- ☆32Updated last year
- ☆51Updated 2 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 2 months ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆119Updated 4 years ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆95Updated last year
- ☆20Updated 2 years ago
- 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 last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆66Updated 10 months ago
- Randomized Positional Encodings Boost Length Generalization of Transformers☆82Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆53Updated 2 years ago
- User-friendly implementation of the Mixture-of-Sparse-Attention (MoSA). MoSA selects distinct tokens for each head with expert choice rou…☆23Updated 3 months ago
- Efficient Transformers with Dynamic Token Pooling☆62Updated 2 years ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated 2 years ago
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆125Updated last year
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆55Updated last year
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- ☆51Updated last year
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆76Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"☆37Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆120Updated 9 months ago
- The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonatha…☆69Updated 3 years ago