CHARM-Tx / linear_mem_attention_pytorchLinks
Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch
☆12Updated 3 years ago
Alternatives and similar repositories for linear_mem_attention_pytorch
Users that are interested in linear_mem_attention_pytorch are comparing it to the libraries listed below
Sorting:
- A simple implementation of a deep linear Pytorch module☆21Updated 5 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- To be a next-generation DL-based phenotype prediction from genome mutations.☆19Updated 4 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- A simple Transformer where the softmax has been replaced with normalization☆20Updated 5 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- ☆21Updated 2 years ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated last year
- High performance pytorch modules☆18Updated 2 years ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated 2 years ago
- Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind☆20Updated last year
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆83Updated last year
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, …☆36Updated 4 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols