14 skills found
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).
westlake-repl / PixelRecA Large-scale Multimodal Dataset for recommender System
westlake-repl / NineRecMultimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System
YadaYuki / News Recommendation LlmPre-trained Large Language Model (BERT) Based News Recommendation using Python / PyTorch 🌎
westlake-repl / Adapter4RecMulti-domain Recommendation with Adapter Tuning
ysh-1998 / CoWPiRecThe official implementation for Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.
babaniyi / LLMs For RecSysFinetune a pre-trained GPT-2 model to generate personalized product recommendations for users, based on product reviews and metadata
777pomingzi / Rethinking PLM In RSCodebase for RecSys 2024 paper, The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
riyajha2305 / Healthcare Diagnosis Chatbot MS HackathonBuilt a chatbot capable of diagnosing common medical conditions based on user symptoms input. Utilized pre-trained machine learning models such NLP and NER from Huggingface and Spacy, trained on medical data to provide accurate suggestions and recommendations for further action.
Jyonn / PREC(COLING 2022) Official Implementation of the paper "Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation"
wyqing20 / APRecThis is the source code of Attacking Pre-trained Recommendation
disola / Bpart5Source code for BPART5 from the paper 'Activity Recommendation for Business Process Modeling with Pre-trained Language Models'.
sprices-exist / CV Match AIOur project develops a resume match recommendation engine leveraging distilBERT. This system will efficiently analyze a user's resume using distilBERT's pre-trained language understanding to determine the most relevant job matches for the candidate.
mc212 / Image Analysis For Clothing Classification And RecommendationIn this project, me and my partner propose an approach to build an end-to-end predictive system, combining classification and recommendation models. Particularly, our system classifies a clothing image into its categories and attributes, then the extracted dataset is used for outfit compatibility learning and recommendation. In order to build the system, the Deepfashion and Polyvore datasets have been utilised to build classification and recommendation models. The classification models are trained using transfer learning in clothing image classification. A number of the state-of-the-art pre-trained models, namely VGG16, InceptionV3 and Resnet50 have been considered along with augmentation techniques for the image classification task, while Bayesian Personalized Ranking (BPR) - framework-based neural networks are employed for modelling the compatibility between clothes items. The results have shown the promising performance of models based on VGG16 in the classification tasks and the support in labelling clothing images automatically for compatibility learning.
