ganisai8202

ganisai8202's Stars

• xingshaocheng/architect-awesome

  后端架构师技术图谱

  59.9k17.8k

• freeCodeCamp/how-to-contribute-to-open-source

  A guide to contributing to open source

  Language:Ruby8.8k1.8k

• bayandin/awesome-awesomeness

  A curated list of awesome awesomeness

  Language:Ruby32.2k3.6k

• instillai/deep-learning-roadmap

  :satellite: All You Need to Know About Deep Learning - A kick-starter

  Language:Python4.6k671

• DopplerHQ/awesome-interview-questions

  :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

  72.2k8.9k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k6k

• dwyl/learn-json-web-tokens

  :closed_lock_with_key: Learn how to use JSON Web Token (JWT) to secure your next Web App! (Tutorial/Example with Tests!!)

  Language:JavaScript4.2k254

• trimstray/the-book-of-secret-knowledge

  A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

  153k9.7k

• lexfridman/mit-deep-learning

  Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  Language:Jupyter Notebook10.2k2.2k

• frank-lam/fullstack-tutorial

  🚀 fullstack tutorial 2022，后台技术栈/架构师之路/全栈开发社区，春招/秋招/校招/面试

  Language:Java11.6k2.4k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook23.2k4.1k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  308k77.3k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.1k15.9k

• zhiwehu/Python-programming-exercises

  100+ Python challenging programming exercises

  27.1k6.9k

• dipakkr/A-to-Z-Resources-for-Students

  ✅ Curated list of resources for college students

  17.8k4.5k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.6k2.8k

• instillai/TensorFlow-Course

  :satellite: Simple and ready-to-use tutorials for TensorFlow

  Language:Jupyter Notebook16.4k3.2k

• leonardomso/33-js-concepts

  📜 33 JavaScript concepts every developer should know.

  Language:JavaScript64.2k9k

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript303k39.7k

• Experience-Monks/math-as-code

  a cheat-sheet for mathematical notation in code form

  15.1k1.1k

• apachecn/apachecn-algo-zh

  ApacheCN 数据结构与算法译文集

  Language:JavaScript11k2.2k

• Yorko/mlcourse.ai

  Open Machine Learning Course

  Language:Python9.8k5.7k

• cfenollosa/os-tutorial

  How to create an OS from scratch

  Language:C27.6k3.3k

• zziz/pwc

  This repository is no longer maintained.

  15.4k2.5k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.8k4k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46k

• brennerm/PyTricks

  Collection of less popular features and tricks for the Python programming language

  Language:Python3.1k502

• kdn251/interviews

  Everything you need to know to get the job.

  Language:Java63.8k12.9k

• andri27-ts/Reinforcement-Learning

  Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

  Language:Jupyter Notebook4.2k623

• lnishan/awesome-competitive-programming

  :gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

  12.8k2.6k