deep-spin / mcan-vqa-continuous-attentionLinks
☆23Updated 4 years ago
Alternatives and similar repositories for mcan-vqa-continuous-attention
Users that are interested in mcan-vqa-continuous-attention are comparing it to the libraries listed below
Sorting:
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆119Updated 4 years ago
- A variant of Transformer-XL where the memory is updated not with a queue, but with attention☆49Updated 5 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆120Updated 4 years ago
- PyTorch code for "Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention" (WACV 2023)☆33Updated 2 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 4 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Updated 2 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- Code for the EMNLP 2021 Oral paper "Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search" https://arx…☆11Updated 2 years ago
- Pytorch version of VidLanKD: Improving Language Understanding viaVideo-Distilled Knowledge Transfer (NeurIPS 2021))☆56Updated 2 years ago
- Implementation of RealFormer using pytorch☆101Updated 4 years ago
- A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering☆43Updated 4 years ago
- Implementation of Multistream Transformers in Pytorch☆54Updated 4 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".☆44Updated 3 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- codebase for the SIMAT dataset and evaluation☆38Updated 3 years ago
- ☆53Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- ☆14Updated 3 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆89Updated 4 years ago
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Updated 4 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆151Updated 2 years ago
- ☆12Updated 5 years ago
- Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch☆59Updated 4 years ago
- ☆36Updated 4 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago