lucidrains / tableformer-pytorchLinks
Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch
☆39Updated 3 years ago
Alternatives and similar repositories for tableformer-pytorch
Users that are interested in tableformer-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- My explorations into editing the knowledge and memories of an attention network☆35Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- A dashboard for exploring timm learning rate schedulers☆19Updated 7 months ago
- Implementation of Multistream Transformers in Pytorch☆54Updated 3 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- Implementation of Metaformer, but in an autoregressive manner☆25Updated 3 years ago
- codebase for the SIMAT dataset and evaluation☆38Updated 3 years ago
- [COLM 2024] Early Weight Averaging meets High Learning Rates for LLM Pre-training☆16Updated 9 months ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆62Updated 3 years ago
- ☆74Updated 2 years ago
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆54Updated 2 years ago
- ☆26Updated 2 years ago
- ☆29Updated 2 years ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- Embedding Recycling for Language models☆38Updated 2 years ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆75Updated 2 years ago
- Large Scale Distributed Model Training strategy with Colossal AI and Lightning AI☆57Updated last year
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 3 years ago
- Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)☆56Updated 9 months ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆74Updated last year
- Utilities for Training Very Large Models☆58Updated 9 months ago
- This project shows how to derive the total number of training tokens from a large text dataset from 🤗 datasets with Apache Beam and Data…☆27Updated 2 years ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago