Alan-JW

Alan-JW's Stars

• difizen/libro

  libro：A Notebook Product Solution with Flexible Customization and Easy Integration.

  Language:TypeScript1908

• Stephenfang51/Focal_loss_turtorial

  代码理解FocalLoss实现以及理论理解

  Language:Jupyter Notebook236

• pumpikano/tf-dann

  Domain-Adversarial Neural Network in Tensorflow

  Language:Jupyter Notebook628224

• VaclavMacha/classification-at-top

  Language:Python1

• VaclavMacha/AccuracyAtTop.jl

  Language:Julia1

• Sherrylife/FedLMT

  [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani and Quan Z. Sheng

  Language:Python51

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.1k8.7k

• LC044/WeChatMsg

  提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

  Language:Python33.4k3.5k

• sbjelogr/TransferBoost

  Tooling for transfer learning with Boosting Models

  Language:Python72

• Bin-Cao/TrAdaboost

  Boosting for transfer learning with single / multiple source(s) Regression / Classification

  Language:Python348

• Sherrylife/FedDWA

  [IJCAI2023] "FedDWA: personalized federated learning with dynamic weight adjustment." by Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

  Language:Python5

• Jack-Cherish/Machine-Learning

  :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

  Language:Python9k5.1k

• yihengsun/TransBoost

  TransBoost algorithm for transfer learning

  Language:Python332

• davidath/incomplete-evidence-transfer

  Official code for "Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks"

  Language:Python1

• ThuanNaN/TLVFC

  Heterogeneous Transfer Learning Using Variance-based Mapping and Pre-trained Feature Crossover

  Language:Python1

• NU-CUCIS/FusionML

  Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset

  Language:Python1

• iron-lion/HDA4SATL

  Heterogeneous Domain Adaptation for Species-Agnostic Transfer Learning

  Language:Python4

• ioanabica/HTCE-learners

  Code for NeurIPS 2022 paper: "Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation" by I. Bica, M. van der Schaar

  Language:Python72

• ymsun99/Heterogeneous-Transfer-Learning

  This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).

  172

• FederatedAI/DOC-CHN

  FedAI 社区中文文档

  Language:Python12968

• primihub/primihub

  Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

  Language:C++1.3k168

• international-explore/awesome-privacy-chinese

  [WIP]国内隐私合规技术交流

  39564

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.4k2k

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook1.8k214

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.6k271

• dissorial/doc-chatbot

  Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.

  Language:TypeScript817137

• mckaywrigley/chatbot-ui

  Come join the best place on the internet to learn AI skills. Use code "chatbotui" for an extra 20% off.

  Language:TypeScript28.4k7.9k

• guangzhengli/ChatFiles

  Document Chatbot — multiple files. Powered by GPT / Embedding.

  Language:TypeScript3.2k480

• mayooear/gpt4-pdf-chatbot-langchain

  GPT4 & LangChain Chatbot for large PDF docs

  Language:TypeScript14.9k3k

• QuivrHQ/quivr

  Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework

  Language:Python36.1k3.5k