louieyliu

louieyliu

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Deep-Listwise-Context-Model-for-Ranking-Refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

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AlgoNotes

【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

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Algorithm_Interview_Notes-Chinese

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

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Alpaca-CoT

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。)

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awesome-chatgpt-prompts-zh

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。

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awesome-chatgpt-zh

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!

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bert

TensorFlow code and pre-trained models for BERT

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deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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DeepMatch

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.

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fast-map-dpp

Fast Greedy MAP Inference for DPP

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GraphEmbedding

Implementation and experiments of graph embedding algorithms.

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GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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kaggle

Kaggle 项目实战(教程) = 文档 + 代码 + 视频

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generative-recommenders

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).

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LLaMA-Efficient-Tuning

Easy-to-use fine-tuning framework using PEFT (PT+SFT+RLHF with QLoRA) (LLaMA-2, BLOOM, Falcon, Baichuan)

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Llama2-Chinese

Llama中文社区,最好的中文Llama大模型,完全开源可商用

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lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

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machine_learning

Basic Machine Learning Introductory Documents

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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NLP_ability

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

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pyllama

LLaMA: Open and Efficient Foundation Language Models

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Reflection_Summary

算法理论基础知识应知应会

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RL4LMs

A modular RL library to fine-tune language models to human preferences

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow-GANs

各类GAN综合在一起,借鉴了hwalsuklee大神的

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tensorflow2_tutorials_chinese

tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials

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Transformer-Translate-Demo

A translation model with Transformer, implement by pytorch, which is for learning Transformer.

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trl

Train transformer language models with reinforcement learning.

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