iszhuangsha's Stars
Goooaaal/Oh_My_Bot_and_My_QA
基于Seq2Seq的多轮对话系统和基于LSTM的问答机制
xiaobaicxy/STM_Multi_Turn_Responses_Selcetion_Pytorch
Pytorch实现STM(Spatio-Temporal Matching network)多轮对话算法
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
datawhalechina/hugging-llm
HuggingLLM, Hugging Future.
MLNLP-World/Awesome-LLM
This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)
Lizhi-sjtu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
TheAlgorithms/Python
All Algorithms implemented in Python
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
ddbourgin/numpy-ml
Machine learning, in numpy
jay15summer/Two-stage-TrAdaboost.R2
FighterLYL/GraphNeuralNetwork
《深入浅出图神经网络:GNN原理解析》配套代码
zhongqiangwu960812/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
fanoping/DIN-pytorch
PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
Prayforhanluo/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,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
huangjunheng/recommendation_model
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
FLHonker/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
loyalzc/transfer_learning
Transfer Learning JDA and TrAdaboost
yiqiyu/tradaboost
The Python implementation of Tradaboost classifier and regressor
NshanPotikyan/TransferLearningTimeSeries
Transfer Learning for Time Series Prediction Task
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
WeiHongLee/Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
Gavince/MTL
学习并复现经典的推荐系统多目标任务,如:SharedBottom、ESMM、MMoE、PLE
dai08srhg/ESMM
PyTorch implementation of Entire Space Multitask Model (ESMM)
busesese/MultiTaskModel
multi task mode for esmm and mmoe
wangzhegeek/EGES
jpegbert/NLP_Coding
NLP
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
ruyiluo/Reco-Res
优质的推荐算法资源汇总
WallaceLiu/recommendation_algorithm
推荐系统算法实践