GEM

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

scikit-learn sprint docs

Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU

A curated list of resources on cold-start recommendations.

深度学习与推荐系统学习，理论结合代码更香。

Collection of diverse recommendation papers

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the method can be used for gradient based RL algorithms (e.g. TD3).