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Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).
Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'
全部算法课讲解知识点提纲、题目汇总、PPT合集、学前必读、学习规划
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
deep learning for image processing including classification and object-detection etc.
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
讲解算法中动态规划的细节问题
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Data Science, FLIP
python data-science jupyter-notebook tuliplab
2020谷粒商城代码+笔记
This repository contains the code for Instance Credibility Inference (ICI).
Code for the paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?" (NeurIPS 2022).
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
LeetCode 刷题攻略:配思维导图,各个类型的经典题目刷题顺序、经典算法模板,以及详细图解和视频题解。这里精选的题目都不是孤立的,而是由浅入深一脉相承的,相信只要按照刷题攻略上的顺序来学习,一定会有所收获!给个star支持一下吧!
My blogs and code for machine learning. http://cnblogs.com/pinard
mall学习教程,架构、业务、技术要点全方位解析。mall项目(40k+star)是一套电商系统,使用现阶段主流技术实现。涵盖了SpringBoot 2.3.0、MyBatis 3.4.6、Elasticsearch 7.6.2、RabbitMQ 3.7.15、Redis 5.0、MongoDB 4.2.5、Mysql5.7等技术,采用Docker容器化部署。
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.