moriarty0405

leetcode_101

LeetCode 101：和你一起你轻松刷题（C++）

vpncn.github.io

2024**翻墙软件VPN推荐以及科学上网避坑，稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件，**最新科学上网翻墙梯子VPN下载推荐，访问Chatgpt。

leetcode-linghu-templete

算法面试必备，推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei

daisyRec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

AI-RecommenderSystem

该仓库尝试整理推荐系统领域的一些经典算法模型

torecsys

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

RecBole

A unified, comprehensive and efficient recommendation library

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Neural-Thompson-Sampling

Study of the paper 'Neural Thompson Sampling' published in October 2020

Awesome-RecSystem-Models

Implements of Awesome RecSystem Models with PyTorch/TF2.0

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

fun-rec

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

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

prediction-flow

Deep-Learning based CTR models implemented by PyTorch

Recommender-System

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

DynamicMNL

Recommender-System-Datasets

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

dlrm

An implementation of a deep learning recommendation model (DLRM)

RecLearn

Recommender Learning with Tensorflow2.x

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

deep_recommenders

Deep Recommenders

deeplearning

深度学习相关的模型训练、评估和预测相关代码

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

trackerslist

Updated list of public BitTorrent trackers

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

SparrowRecSys

A Deep Learning Recommender System

Linear-Algebra-With-Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.