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推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversion…
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
A high-throughput and memory-efficient inference and serving engine for LLMs
【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流
从零编写游戏引擎教程 Writing a game engine tutorial from scratch
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Learn computer graphics by writing GPU shaders!
This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
A deep-dive on the entire history of deep-learning
OpenMMLab Detection Toolbox and Benchmark
手部21个关键点检测，二维手势姿态，手势识别，pytorch,handpose
ncnn is a high-performance neural network inference framework optimized for the mobile platform
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
Must-read papers on graph neural networks (GNN)
Reading list for research topics in multimodal machine learning
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
学习记录的一些笔记，以及所看得一些电子书eBooks、视频资源和平常收纳的一些自己认为比较好的博客、网站、工具。涉及大数据几大组件、Python机器学习和数据分析、Linux、操作系统、算法、网络等
专注于分享算法，计算机基础（包括计算机网络，操作系统，MySQL等），无论是应付面试，还是提升自己地内功，这里都能帮到你
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.