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Python机器学习算法技术博客,有原创干货!有code实践! 【更多内容敬请关注公众号 "算法进阶"】
Word frequency statistics of spam messages
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور…
Coding when taking course Deep Learning Specialization
coding to achieve Machine Learning Specialization (homework of ML by Andrew)
Notes when taking course Customer Analysis and A/B Testing
Machine Learning Pipelines for Kubeflow
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,850+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。
This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Sou…
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Model stacking example on toy dataset using XGBoost, LightGBM and more, combined with mlxtend model stacking.
Code when taking course Big Data Algorithms
记录小润了解的各种机器学习算法的实现以及基础概念,包括有监督学习,无监督学习,分类,聚类,回归;神经元模型,多层感知器,BP算法;损失函数,激活函数,梯度下降法;全连接网络、卷积神经网络、递归神经网络;训练集,测试集,交叉验证,欠拟合,过拟合;数据规范化等
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
A WeChat robot unit ,based on the android xposed framework hook to implement WeChat app robot functions
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Plotting Assignment 1 for Exploratory Data Analysis