nn116003 /self-attention-classification

curiousily/Getting-Things-Done-with-Pytorch

▲ +2 ★ this week

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

NX-AI/xlstm

▲ +4 ★ this week

Official repository of the xLSTM.

chengchingwen/Transformers.jl

Julia Implementation of Transformer models

wuba/qa_match

A simple effective ToolKit for short text matching

zhongkaifu/RNNSharp

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

floriankark/cs224n-win2223

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023