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Name: Zijian li
Type: User
Company: JLU
Location: Changchun
Name: Zijian li
Type: User
Company: JLU
Location: Changchun
科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测 第1名方案
Clustering using tslearn for Time Series Data.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
ChatGPT 中文指南,ChatGPT 中文调教指南,指令指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up!
A collection of AWESOME things about domian adaptation
A curated list of awesome federated machine learning resources, including research papers, codes, tutorials, blogs and beyond
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A curation list of Awesome LLM/FM for wireless communication and networking papers, including applications, benchmarks, datasets, codes/implementations, and related resources.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Deep Learning Specialization by Andrew Ng on Coursera.
An Industrial Grade Federated Learning Framework
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
Federated Learning under Distributed Concept Drift (FedDrift)
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
Benchmark of federated learning. Dedicated to the community. 🤗
Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary
Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
吉林大学硕博学位论文 LaTeX 模板——jluthesis2020
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
Basic GL Style using OpenMapTiles
一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.
:book: [译] MachineLearningMastery 博客文章
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
NetF, an alternative set of features, incorporating several representative topological measures of different complex networks mappings of the time series.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.