aliutkus / spe
Relative Positional Encoding for Transformers with Linear Complexity
☆61Updated 2 years ago
Alternatives and similar repositories for spe:
Users that are interested in spe are comparing it to the libraries listed below
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 2 years ago
- ☆72Updated 3 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Simply Numpy implementation of the FAVOR+ attention mechanism, https://teddykoker.com/2020/11/performers/☆37Updated 4 years ago
- Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch☆39Updated 2 years ago
- Sequence Modeling with Structured State Spaces☆62Updated 2 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Axial Positional Embedding for Pytorch☆69Updated last week
- PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)☆64Updated 4 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆110Updated 4 years ago
- Representation learning for NLP @ JSALT19☆38Updated 4 years ago
- Implements Reformer: The Efficient Transformer in pytorch.☆84Updated 4 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆25Updated last year
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆72Updated 2 years ago
- Implementation of Imputer: Sequence Modelling via Imputation and Dynamic Programming in PyTorch☆59Updated 4 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆118Updated 3 years ago
- Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"☆14Updated 5 years ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 2 years ago
- A Pytorch Implementations for Various Vector Quantization Methods☆27Updated 3 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆97Updated last year
- Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"☆70Updated last year
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆89Updated 4 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 3 years ago
- ☆9Updated 2 years ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Updated last year
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆81Updated last year
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆72Updated 2 years ago
- Reference implementation of DecDTW in PyTorch (ICLR 2023)☆21Updated last year
- CUDA kernels for generalized matrix-multiplication in PyTorch☆79Updated 3 years ago