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Learning Large Language Model (LLM）(大语言模型学习)
links to conference publications in graph-based deep learning
查询东南大学九龙湖/丁家桥/无锡校区各个充电桩的可用情况
An index of algorithms for learning causality with data
A curated (most recent) list of resources for Learning with Noisy Labels
A curated list of resources for Learning with Noisy Labels
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…
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
This is the notes of the way of machine learning study. You may find something useful in it.
A Python implementation of global optimization with gaussian processes.
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
A playbook for systematically maximizing the performance of deep learning models.
An unofficial styleguide and best practices summary for PyTorch
Must-read papers on graph neural networks (GNN)
My blogs and code for machine learning. http://cnblogs.com/pinard
Some Conferences' accepted paper lists (including AI, ML, Robotic)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
PyTorch Tutorial for Deep Learning Researchers
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Statistical Learning Theory (CS229T) Lecture Notes
The most cited deep learning papers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。