moriarty0405

moriarty0405's Stars

• ngosang/trackerslist

  Updated list of public BitTorrent trackers

  46.6k1.3k4426.6k

• vpncn/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。

  Language:HTML15.7k23901.5k

• dair-ai/ml-visuals

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

  13.2k114491.4k

• changgyhub/leetcode_101

  LeetCode 101：和你一起你轻松刷题（C++）

  8.2k145881.1k

• shenweichen/DeepCTR

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

  Language:Python7.5k1783692.2k

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.7k223673.3k

• MingchaoZhu/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

  Language:Python6.4k19161.3k

• datawhalechina/fun-rec

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

  Language:Jupyter Notebook4.2k3456804

• faridrashidi/kaggle-solutions

  🏅 Collection of Kaggle Solutions and Ideas 🏅

  Language:HTML4k7471.5k

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k107211831

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k6464996

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.4k41967606

• ninechapter-algorithm/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

  3.2k793777

• shenweichen/DeepCTR-Torch

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

  Language:Python3k46135701

• wzhe06/SparrowRecSys

  A Deep Learning Recommender System

  Language:Python2.4k5733827

• weijie-chen/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.

  Language:Jupyter Notebook2.3k801567

• shenweichen/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.

  Language:Python2.2k5174530

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k3582492

• zhongqiangwu960812/AI-RecommenderSystem

  该仓库尝试整理推荐系统领域的一些经典算法模型

  Language:Jupyter Notebook1.7k1410384

• datawhalechina/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。

  Language:Jupyter Notebook1.6k2911813

• yangxudong/deeplearning

  深度学习相关的模型训练、评估和预测相关代码

  Language:Python1k3525377

• AmazingDD/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)

  Language:Python545131085

• SSSxCCC/Recommender-System

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

  Language:Python40881694

• LongmaoTeamTf/deep_recommenders

  Deep Recommenders

  Language:Python32477108

• JianzhouZhan/Awesome-RecSystem-Models

  Implements of Awesome RecSystem Models with PyTorch/TF2.0

  Language:Python2558569

• GitHub-HongweiZhang/prediction-flow

  Deep-Learning based CTR models implemented by PyTorch

  Language:Python25171752

• p768lwy3/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.

  Language:Python1015317

• daconjam/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.

  968036

• RonyAbecidan/Neural-Thompson-Sampling

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

  Language:Jupyter Notebook20125

• ma-aouad/DynamicMNL

  Language:Python10406