ShaowenLin

ShaowenLin's Stars

• crazyofapple/Reading_groups

  A paper & resource list of large language models, including course, paper, demo, figures

  1818

• BokwaiHo/revenue_uplift

  Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)

  101

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  17.1k1.4k

• 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

  Language:Jupyter Notebook11.2k1.3k

• 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

  Language:Python13.5k1.2k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook36.6k3.8k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.2k700

• 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).

  Language:Python6517

• lqz72/BMNS

  Implementation for "Batch-Mix Negative Sampling for Learning Recommendation Retrievers"

  Language:Python3

• 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”

  Language:Python5810

• UFNRec-code/UFNRec

  Language:Python32

• SimonVandenhende/Awesome-Multi-Task-Learning

  A list of multi-task learning papers and projects.

  35951

• RUCAIBox/EulerNet

  This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction".

  Language:Python242

• ChenBoSyun/BPR-by-tensorflow

  implement bayesian personalized ranking by tensorflow

  Language:Jupyter Notebook206

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4k622

• 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

  Language:Python363

• pytorch/torchrec

  Pytorch domain library for recommendation systems

  Language:Python1.9k397

• AvivNavon/nash-mtl

  Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

  Language:Python20226

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.1k264

• tensorflow/lingvo

  Lingvo

  Language:Python2.8k439

• 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]

  Language:Python10630

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.7k7.8k

• google-research/tensor2robot

  Distributed machine learning infrastructure for large-scale robotics research

  Language:Python535116

• vpetren/gradnorm_tf

  TensorFlow implementation of GradNorm

  Language:Python3913

• tianheyu927/PCGrad

  Code for "Gradient Surgery for Multi-Task Learning"

  Language:Python29835

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python1.9k181

• mindspore-ai/models

  Language:Python34697

• fuyuanlyu/OptInter

  This repository contains PyTorch Implementation of ICDE 2022 paper: Memorize, factorize, or be naive: Learning optimal feature interaction methods for CTR Prediction.

  Language:Python83

• huawei-noah/benchmark

  Language:HTML27469

• easezyc/MetaHeac

  This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

  Language:Python5210