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一些domain generalization相关的阅读笔记

An unofficial pytorch implementation of MELU

Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

HSML for ICML 2019

[ICLR2021oral] Rethinking Architecture Selection in Differentiable NAS

released code for the paper: ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Must-read papers on Recommender System.

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

Federated Learning Library: https://fedml.ai

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)

Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model

TensorFlow code and pre-trained models for BERT

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

collective Variational Autoencoder

This repository includes some papers that I have read or which I think may be very interesting.

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)