ShaowenLin's Stars
crazyofapple/Reading_groups
A paper & resource list of large language models, including course, paper, demo, figures
BokwaiHo/revenue_uplift
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
datawhalechina/llm-cookbook
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
LlamaFamily/Llama-Chinese
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
GXYM/GHM_Loss
The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).
lqz72/BMNS
Implementation for "Batch-Mix Negative Sampling for Learning Recommendation Retrievers"
archersama/IntTower
Source code of CIKM 2022 and DLP-KDD workshop 2022 Best Paper: IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-ranking System”
UFNRec-code/UFNRec
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
RUCAIBox/EulerNet
This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction".
ChenBoSyun/BPR-by-tensorflow
implement bayesian personalized ranking by tensorflow
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
ssocean/AlphX-Code-For-DAR
粤港澳大湾区(黄埔)国际算法算例大赛-古籍文档图像识别与分析算法比赛 Alphx队源码
pytorch/torchrec
Pytorch domain library for recommendation systems
AvivNavon/nash-mtl
Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
megvii-research/NAFNet
The state-of-the-art image restoration model without nonlinear activation functions.
tensorflow/lingvo
Lingvo
xidongbo/AITM
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]
google-research/google-research
Google Research
google-research/tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
vpetren/gradnorm_tf
TensorFlow implementation of GradNorm
tianheyu927/PCGrad
Code for "Gradient Surgery for Multi-Task Learning"
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
mindspore-ai/models
fuyuanlyu/OptInter
This repository contains PyTorch Implementation of ICDE 2022 paper: Memorize, factorize, or be naive: Learning optimal feature interaction methods for CTR Prediction.
huawei-noah/benchmark
easezyc/MetaHeac
This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).