lmm6895071

Recommender

recommendation system contains PMF、ConvMF、JMF、MLP models

bert

TensorFlow code and pre-trained models for BERT

fucking-algorithm

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.

RecommenderSystem-Paper

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

Awesome-Federated-Learning

Federated Learning Library: https://fedml.ai

bert-as-service

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

CLUE

CNN

CNN for Sentiment Classification

cVAE

collective Variational Autoencoder

Darts

darts-pt

[ICLR2021oral] Rethinking Architecture Selection in Differentiable NAS

DeepRec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

DomainIntersectionDifference

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

Generalization-Causality

一些domain generalization相关的阅读笔记

HSML

HSML for ICML 2019

ISTA-NAS

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

KRLPapers

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

leo

MeLU

MELU_pytorch

An unofficial pytorch implementation of MELU

MetaHIN

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

MingmingLi

Scholar

MingmingLi.github.io

Pmodel-MuilPmodel

Java : dynamic forest model for sentiment classfication

pytorch-metric-learning

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

Recommendation

RSPapers

Must-read papers on Recommender System.

sklearn

sklearn: SVM、GBDT、LR、AdaBoost and so on

Text-categorization-competition

达观文本分类大赛2018

vsepp

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