zhanglangjd Goto Github PK

adatask

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.

adv_hsc_moe

code for the paper "Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint"

aes_msl_mtl

ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

aim

AIM: Automatic Interaction Machine for Click-Through Rate Prediction

aitm-torch

Pytorch implementation of Adaptive Information Transfer Multi-task (AITM)

algorithmmarkdown

awesome-aigc

AIGC资料汇总学习，持续更新......

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-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-llm

Awesome-LLM: a curated list of Large Language Model

awesome-multi-task-learning

An up-to-date list of works on Multi-Task Learning

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

bars

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

causalmta

chatsd

ChatSD is designed to make image generation tasks easily

co-action-network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

concretedropout

Concrete Dropout implementation for Tensorflow 2.0 and PyTorch

cs-notes

: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

ctr_algorithm

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）

dataandalgorithmpub

数据算法小酒馆公众号相关代码

dcin

AAAI'23 DCIN

decryptprompt

总结Prompt&LLM论文，开源数据&模型，AIGC应用

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

deep_ctr

deepctr

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

deepmatch

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.

defer

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dien-tf2

Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction