vincentami Goto Github PK

ad-papers

Papers on Computational Advertising

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

aft-pytorch

Unofficial PyTorch implementation of Attention Free Transformer (AFT) layers by Apple Inc.

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

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

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）

alphafm

alphafm_softmax

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

autodebias

This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.

autofs-in-ctr

This repository is contains several Automated feature selection methods in CTR Predicition.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

awesome-tensorflow-chinese

Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

azkaban

Azkaban workflow manager.

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

belle

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

bert

TensorFlow code and pre-trained models for BERT

blog-codes

个人博客 (https://fancyerii.github.io/) 文章的代码

causalml

Uplift modeling and causal inference with machine learning algorithms

cem-rl

Combining Evolutionary Algorithms and deep RL in various ways

chatglm-efficient-tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

chatglm-finetuning

基于ChatGLM-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning等

cikm2020_dmt

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

codes

cosent

比Sentence-BERT更有效的句向量方案

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc