python sdk for FISCO BCOS

A simple implementation of a deep linear Pytorch module

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

An All-MLP solution for Vision, from Google AI

Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch

Graph neural network message passing reframed as a Transformer with local attention

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

Implementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch

A simple cross attention that updates both the source and target in one step

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto

Fast and memory-efficient exact attention

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Vector (and Scalar) Quantization, in Pytorch

An implementation of local windowed attention for language modeling

Database ORM layer for Nim

Implementation of TACL 2017 paper: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码