The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)
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Updated
Sep 3, 2022 - Python
The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)
[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
[EMNLP2024] This repo is the official implementation for Incubating Text Classifiers Following User Instruction with Nothing but LLM. We allow users to get a personalized classifier with only the instruction as input. The incubation is based on a llama-2-7b fine-tuned on Huggingface Meta Data and Self-Diversification.
Backtesting GTAA and Timed Ivy Portfolio against UBAH and UBAH Redistributed for diversified portfolio
Portfolio Optimization - Most Diversified Portfolio
Visualizations of diversification algorithms
This section documents my development of a web app that aims to make investment decisions easier.
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