为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"

Graph-Structured Referring Expressions Reasoning in The Wild, In CVPR 2020, Oral.

Spectral Residual Approach Implementation,Context-Aware Saliency Detection Implementation

✨ My personal site & Template for jekyll-theme-WuK

Solutions to "Machine Learning: A Probabilistic Perspective"

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network