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【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data, and integrating more LLMs together for easy use. (我们将CoT数据扩展到Alpaca以提高其推理能力,同时我们将不断收集更多的instruction-tuning数据集,并在我们框架下集成进更多的LLM,打造一个通用的LLM-IFT平台。)
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。
ChatGPT 中文指南,ChatGPT 中文调教指南,指令指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up!
TensorFlow code and pre-trained models for BERT
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
Fast Greedy MAP Inference for DPP
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).
Implementation and experiments of graph embedding algorithms.
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Kaggle 项目实战(教程) = 文档 + 代码 + 视频
Easy-to-use fine-tuning framework using PEFT (PT+SFT+RLHF with QLoRA) (LLaMA-2, BLOOM, Falcon, Baichuan)
Llama中文社区,最好的中文Llama大模型,完全开源可商用
Code for the paper Fine-Tuning Language Models from Human Preferences
Basic Machine Learning Introductory Documents
My blogs and code for machine learning. http://cnblogs.com/pinard
Models and examples built with TensorFlow
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
LLaMA: Open and Efficient Foundation Language Models
算法理论基础知识应知应会
A modular RL library to fine-tune language models to human preferences
Code and documentation to train Stanford's Alpaca models, and generate the data.
Computation using data flow graphs for scalable machine learning
各类GAN综合在一起,借鉴了hwalsuklee大神的
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
A translation model with Transformer, implement by pytorch, which is for learning Transformer.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.