359 skills found · Page 1 of 12
twitter / The AlgorithmSource code for the X Recommendation Algorithm
huihut / Interview📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
recommenders-team / RecommendersBest Practices on Recommendation Systems
twitter / The Algorithm MlSource code for Twitter's Recommendation Algorithm
lyst / LightfmA Python implementation of LightFM, a hybrid recommendation algorithm.
PaddlePaddle / PaddleRecRecommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等
alibaba / EasyRecA framework for large scale recommendation algorithms.
jfkirk / TensorrecA TensorFlow recommendation algorithm and framework in Python.
muricoca / CrabCrab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
tsinghua-fib-lab / GNN Recommender SystemsAn index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
qiaoguan / Deep Ctr PredictionCTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
kaushikjadhav01 / Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
hidasib / GRU4RecGRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
chihming / Competitive RecsysA collection of resources for Recommender Systems (RecSys)
ylongqi / OpenrecOpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
alibaba / TorchEasyRecAn easy-to-use framework for large scale recommendation algorithms.
sribdcn / PersonalExam🧠 AI-powered Personalized Exam System: Integrating OpenPangu LLM, Knowledge Graph RAG, and BKT algorithm for adaptive question generation and recommendation. 基于LLM与知识图谱的智能个性化出题系统。
philipperemy / Deep Learning TinderSimple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).
Nikhilkohli1 / Digital Marketing AnalyticsThis contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics
gbolmier / Funk Svd:zap: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
