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abtest-sdk

ABTest-SDK适用于AB分流实验、灰度发布系统等互联网场景； 此SDK支持二次开发，开发者可自行实现查询实验分流配置接口。 特性： 1）支持白名单； 2）轻量级，仅依赖spring、guava； 3）接口耗时微秒级，使用guava的本地缓存； 4）客户分流可控（修改分流比时候客户版本可控，单个实验的分流比例粒度为5%）；

abtesting

algorithm-practice-in-industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

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

alphaplm

Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

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。

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

belle

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

chatgpt-admin-web

带有用户管理和后台管理系统的 ChatGPT WebUI

chatgpt-next-web

chatgpt-next-web-2

chinese-llama-alpaca-2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 16K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)

chuanhuchatgpt

GUI for ChatGPT API (with NSFW option)

colossalai

Making large AI models cheaper, faster and more accessible

ctr_keras

LR, Wide&Deep, DCN, NFM, DeepFM, NFFM

ctr_prediction

CTR prediction using FM FFM and DeepFM

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)

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep_ctr

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deeprec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

deeprl-informationextraction

Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954

distributed-graph-analytics

Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

dlinterview

Deep Learning Interview 深度学习面试题目汇总

doc2vec

C++ implement of Tomas Mikolov's word/document embedding

docs-l10n

Translations of TensorFlow documentation