safeami Goto Github PK

awesome-java

Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).

bms

Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'

class-notes

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

cs-notes

: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

d2l-zh

《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

deep learning for image processing including classification and object-detection etc.

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

dify

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.

dsn_fewshot

dynamic-program

讲解算法中动态规划的细节问题

feat

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

few_shot_distribution_calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

fewshotwithoutforgetting

firecrawl

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

flip00

Data Science, FLIP

flip01

python data-science jupyter-notebook tuliplab

git

gulimall-learning

2020谷粒商城代码+笔记

ici-fsl

This repository contains the code for Instance Credibility Inference (ICI).

imbalancedlearning

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).

javaguide

「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！

kaggle

l2b

Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)

learn_python3_spider

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

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

leetcode-master

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！

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mall-learning

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。