Pinned Repositories
Some-Collected-Papers-on-Stochastic-Computing
gpt_academic
为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，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，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等
JoptmSC
Joint optimization of randomizer and computing core for low-cost stochastic circuits
LLM-scientific-feedback
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
MinSC
MinSC: An Exact Synthesis-Based Method for Minimal-AreaStochastic Circuits under Relaxed Error Bound
zkc2017's Repositories
zkc2017/JoptmSC
Joint optimization of randomizer and computing core for low-cost stochastic circuits
zkc2017/gpt_academic
为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，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，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等
zkc2017/LLM-scientific-feedback
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
zkc2017/MinSC
MinSC: An Exact Synthesis-Based Method for Minimal-AreaStochastic Circuits under Relaxed Error Bound