6sy666

6sy666's Stars

• benjaminpatrickevans/MethodComparisonsInPython

  Friedman tests for comparing multiple methods across datasets in python

  Language:Jupyter Notebook3112

• MLNLP-World/Paper-Writing-Tips

  MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

  3.7k471

• manujosephv/GATE

  Language:Python163

• Lionelsy/Conference-Accepted-Paper-List

  Some Conferences' accepted paper lists (including AI, ML, Robotic)

  97074

• WhatAShot/ExcelFormer

  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.

  Language:Python517

• SpursGoZmy/Tabular-LLM

  本项目旨在收集开源的表格智能任务数据集（比如表格问答、表格-文本生成等），将原始数据整理为指令微调格式的数据并微调LLM，进而增强LLM对于表格数据的理解，最终构建出专门面向表格智能任务的大型语言模型。

  48938

• eric-mitchell/direct-preference-optimization

  Reference implementation for DPO (Direct Preference Optimization)

  Language:Python2.2k185

• automl/CAAFE

  Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

  Language:Python13222

• dholzmueller/pytabkit

  ML models + benchmark for tabular data classification and regression

  Language:Python353

• SilenceX12138/ProtoGate

  Official PyTorch implementation of “ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data” (ICML 2024).

  Language:Python5

• aigc-apps/AMFormer

  The AMFormer algorithm, accepted at AAAI-2024, for deep tabular learning

  Language:Python277

• OpenBMB/MiniCPM-V

  MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  Language:Python12.8k894

• HangtingYe/PTaRL

  Language:Python52

• jonbarron/website

  Language:HTML2.7k2.2k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  12.9k824

• Learnware-LAMDA/Learnware

  Based on the learnware paradigm, the learnware package supports the entire process including the submission, usability testing, organization, identification, deployment, and reuse of learnwares. Simultaneously, this repository serves as Beimingwu's engine, supporting its core functionalities.

  Language:Python952

• Learnware-LAMDA/Beimingwu

  Beimingwu is the first systematic open-source implementation of the learnware dock system, providing a preliminary research platform for learnware studies and enabling effective learnware search and reuse without building machine learning models from scratch.

  Language:Vue1062

• 1095071913/maozi-cloud-parent

  【脚手架】基于 SpringCloud Alibaba Dubbo 二开封装

  Language:Java1k67

• VPN-tuijian/Airport_VPN_monthly

  [2024/11] 🚀 机场推荐与机场评测，可以加star⭐不迷路。梯子 | 翻墙 | 魔法上网 | 加速器 | 科学上网 | vpn

  32224

• kqwang/phase-recovery

  Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

  55563

• xuchengsheng/spring-reading

  涵盖了 Spring 框架的核心概念和关键功能，包括控制反转（IOC）容器的使用，面向切面编程（AOP）的原理与实践，事务管理的方式与实现，Spring MVC 的流程与控制器工作机制，以及 Spring 中数据访问、安全、Boot 自动配置等方面的深入研究。此外，它还包含了 Spring 事件机制的应用、高级主题如缓存抽象和响应式编程，以及对 Spring 源码的编程风格与设计模式的深入探讨。

  Language:Java8.4k1k

• LOUSANPANG/fe-workflow

  📃 FE Engineering Construction Guide Refspec

  Language:Vue1k111

• maliangnansheng/bbs-springboot

  仿掘金之【南生论坛】基于SpringBoot+Vue(2/3)框架实现前后端分离（大厂微服务架构设计；代码简洁、高效无冗余；注释详细易阅读），自适应手机端和电脑端，界面简洁美观，功能完善，性能高效。官方地址：https://bbs.nanshengbbs.top

  Language:Java1.4k112

• chenzhen7/cz-blog

  基于springboot + Thymeleaf + vue开发的 个人博客系统，包含前台和后台管理页面，（采用标准的架构设计；代码简洁、高效无冗余；注释详细易阅读），自适应手机端和电脑端，界面简洁美观，功能完善。可用做毕设、实习项目、练手项目

  Language:CSS2104

• LirongWu/MAPE-PPI

  Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"

  Language:Python25244

• LazyAGI/LazyLLM

  Easiest and laziest way for building multi-agent LLMs applications.

  Language:Python1k68

• wdsqjq/FengYunWeather

  风云天气是Android 平台开源天气 App，采用Kotlin、Room、OKHttp3、 协程等框架实现。

  Language:Kotlin2.1k258

• zhangyikaii/LAMDA-ZhiJian

  ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

  Language:Python512

• sun-hailong/LAMDA-PILOT

  🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

  Language:Python31730

• Secilia-Cxy/SOFTS

  Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

  Language:Python18717