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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

ICML2022-FEDformer

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

TGAT-REF

Reference implementation of TGAT: Inductive Representation Learning on Temporal Graphs (ICLR 2020)

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

papernotclear

蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）

PTUM

Resources of "PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision"

Golang-100-Days

Golang - 100天从新手到大师

learning-to-reweight-examples

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

bilix

⚡️Lightning-fast async download tool for bilibili and more

DL_EventExtractionPapers

2015年以来基于深度学习方法的事件抽取论文整理

annotated-transformer

An annotated implementation of the Transformer paper.

HowToLiveLonger

程序员延寿指南 | A programmer's guide to live longer

ChineseLyrics

10W首中文歌词数据库

Data-Science-Notes

数据科学的笔记以及资料搜集

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

ML_Notes

机器学习算法的公式推导以及numpy实现

pushdeer

开放源码的无App推送服务，iOS14+扫码即用。亦支持快应用/iOS和Mac客户端、Android客户端、自制设备

wxa-plugin-canvas

小程序海报组件-生成朋友圈分享海报并生成图片

php_poster

php生成图片海报，微信分享图片海报，微信小程序分享海报

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

tab-transformer-pytorch

Implementation of TabTransformer, attention network for tabular data, in Pytorch

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

CausE

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

AlgoNotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

acl2022

awesome-knowledge-graph

A curated list of Knowledge Graph related learning materials, databases, tools and other resources

deep_recommenders

Deep Recommenders

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations