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 python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- ☆11Updated 3 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 3 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- ☆21Updated 2 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 9 months ago
- AdamW optimizer for bfloat16 models in pytorch 🔥.☆33Updated last year
- To be a next-generation DL-based phenotype prediction from genome mutations.☆19Updated 4 years ago
- Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind☆19Updated last year
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- High performance pytorch modules☆18Updated 2 years ago
- A simple Transformer where the softmax has been replaced with normalization☆20Updated 4 years ago
- ☆20Updated 4 years ago
- JAX implementation of Learning to learn by gradient descent by gradient descent☆27Updated 8 months ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 3 years ago
- A JAX nn library☆21Updated 4 months ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated 2 years ago
- ☆24Updated last year
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- Code publication to the paper "Normalized Attention Without Probability Cage"☆16Updated 3 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 5 years ago
- Code for "MIM: Mutual Information Machine" paper.☆16Updated 2 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year
- PyTorch implementation of GLOM☆22Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆60Updated 2 years ago