Seunghyeon Park 's starred repositories
CSGHub
CSGHub is an opensource large model assets platform just like on-premise huggingface which helps to manage datasets, model files, codes and more. CSGHub是一个开源、可信的大模型资产管理平台，可帮助用户治理LLM和LLM应用生命周期中涉及到的资产（数据集、模型文件、代码等）。CSGHub提供类似私有化的Huggingface功能，以类似OpenStack Glance管理虚拟机镜像、Harbor管理容器镜像以及Sonatype Nexus管理制品的方式，实现对LLM资产的管理。欢迎关注反馈和Star⭐️
llama_index
LlamaIndex is a data framework for your LLM applications
awesome-vector-search
Collections of vector search related libraries, service and research papers
recognize-anything
Open-source and strong foundation image recognition models.
Graph-Recommender-FAISS-ECommerce
Graph based recommender system using FAISS for e-commerce depending on purchase and search history.
MovieLens-100K_Recommender-System
Movie recommender system using Surprise library.
recommend_system_learning
neteasy music recommend system based on Surprise libaray and word2vec model using gensim library
RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Hybrid-Weighted-Embedding-Recommender
A Hybrid Recommendation system which uses Content embeddings and augments them with collaborative features. Weighted Combination of embeddings enables solving cold start with fast training and serving
Deep-Learning-Model-for-Hybrid-Recommendation-Engine
A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor
recommenders
Best Practices on Recommendation Systems
the-algorithm
The ultimate algorithm for sorting posts on social media timelines.
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
the-algorithm
Source code for Twitter's Recommendation Algorithm
Web-Development
A repository to help the open-source community with cool projects