lukemelas / simple-bertLinks
A simple PyTorch implementation of BERT, complete with pretrained models and training scripts.
☆44Updated 6 years ago
Alternatives and similar repositories for simple-bert
Users that are interested in simple-bert are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering☆42Updated 5 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short.☆49Updated 2 months ago
- ☆24Updated 4 years ago
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆59Updated 4 years ago
- Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch☆59Updated 4 years ago
- An open source implementation of CLIP.☆33Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 4 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- ☆20Updated 4 years ago
- A non-JIT version implementation / replication of CLIP of OpenAI in pytorch☆34Updated 4 years ago
- ☆15Updated 3 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆54Updated 4 years ago
- ☆24Updated 4 years ago
- [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks☆60Updated 2 years ago
- A simple but well-performing "single-hop" visual attention model for the GQA dataset☆20Updated 6 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 5 years ago
- ☆21Updated 4 years ago
- Official PyTorch implementation of RIO☆19Updated 4 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 3 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated 2 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆151Updated 2 years ago
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- understanding model mistakes with human annotations☆106Updated 2 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago