Starred repositories
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.
Collection of publicly available IPTV channels from all over the world
A curated list of practical financial machine learning tools and applications.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
microsoft / Megatron-DeepSpeed
Forked from NVIDIA/Megatron-LMOngoing research training transformer language models at scale, including: BERT & GPT-2
allRank is a framework for training learning-to-rank neural models based on PyTorch.
A curated list of awesome Machine Learning frameworks, libraries and software.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
A complete computer science study plan to become a software engineer.
Lime: Explaining the predictions of any machine learning classifier
Google Research
2019-SOTA简繁中文拼写检查工具：FASPell Chinese Spell Checker (Chinese Spell Check / 中文拼写检错 / 中文拼写纠错 / 中文拼写检查)
🚀 The Architecture of Open Source Applications Volume 1 and Volume 2 & 500 Lines or Less. (PDF)
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
💻📖对开发人员有用的定律、理论、原则和模式。(Laws, Theories, Principles and Patterns that developers will find useful.)
✅ Curated list of resources for college students
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
2023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。
Best Practices on Recommendation Systems
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[email protected] 版权所有，违权必究 Tan 2018.06
TensorFlow code and pre-trained models for BERT
A game theoretic approach to explain the output of any machine learning model.
100+ Python challenging programming exercises
《Designing Data-Intensive Application》DDIA中文翻译
An industrial deep learning framework for high-dimension sparse data
