zhanglangjd Goto Github PK
Name: 小幸运
Type: User
Name: 小幸运
Type: User
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.
code for the paper "Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint"
该仓库尝试整理推荐系统领域的一些经典算法模型
AIM: Automatic Interaction Machine for Click-Through Rate Prediction
Pytorch implementation of Adaptive Information Transfer Multi-task (AITM)
AIGC资料汇总学习,持续更新......
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 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-LLM: a curated list of Large Language Model
An up-to-date list of works on Multi-Task Learning
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
Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
ChatSD is designed to make image generation tasks easily
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
Concrete Dropout implementation for Tensorflow 2.0 and PyTorch
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM,xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... (pytorch, tf2.0)
数据算法小酒馆公众号相关代码
AAAI'23 DCIN
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
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 which can be used for ANN search.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction
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.