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humanwhocodes/computer-science-in-javascript: Collection of classic computer science paradigms, algorithms, and approaches written in JavaScript.
humanwhocodes/computer-science-in-javascript: Collection of classic computer science paradigms, algorithms, and approaches written in JavaScript.
Collection of classic computer science paradigms, algorithms, and approaches written in JavaScript. - humanwhocodes/computer-science-in-javascript: Collection of classic computer science paradigms...
·github.com·
humanwhocodes/computer-science-in-javascript: Collection of classic computer science paradigms, algorithms, and approaches written in JavaScript.
cheatsheet1999/FrontEndCollection: Notes for Fullstack Software Engineers. Covers common data structure and algorithms, web concepts, Javascript / TypeScript, React, and more!
cheatsheet1999/FrontEndCollection: Notes for Fullstack Software Engineers. Covers common data structure and algorithms, web concepts, Javascript / TypeScript, React, and more!
Notes for Fullstack Software Engineers. Covers common data structure and algorithms, web concepts, Javascript / TypeScript, React, and more! - cheatsheet1999/FrontEndCollection
·github.com·
cheatsheet1999/FrontEndCollection: Notes for Fullstack Software Engineers. Covers common data structure and algorithms, web concepts, Javascript / TypeScript, React, and more!
trekhleb/homemade-machine-learning: 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
trekhleb/homemade-machine-learning: 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained - trekhleb/homemade-machine-learning
·github.com·
trekhleb/homemade-machine-learning: 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...
·github.com·
eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
donnemartin/interactive-coding-challenges: 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
donnemartin/interactive-coding-challenges: 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards. - donnemartin/interactive-coding-challenges
·github.com·
donnemartin/interactive-coding-challenges: 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Farama-Foundation/Gymnasium: An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Farama-Foundation/Gymnasium: An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym) - Farama-Foundation/Gymnasium
·github.com·
Farama-Foundation/Gymnasium: An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
labuladong/fucking-algorithm: 刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
labuladong/fucking-algorithm: 刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why. - labuladong/fucking-algorithm: 刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode...
·github.com·
labuladong/fucking-algorithm: 刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
ladjs/supertest: 🕷 Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.
ladjs/supertest: 🕷 Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.
🕷 Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs. - ladjs/supertest
·github.com·
ladjs/supertest: 🕷 Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.
goldbergyoni/javascript-testing-best-practices: 📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (July 2023)
goldbergyoni/javascript-testing-best-practices: 📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (July 2023)
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (July 2023) - goldbergyoni/javascript-testing-best-practices
·github.com·
goldbergyoni/javascript-testing-best-practices: 📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (July 2023)
go-playground/validator: :100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving
go-playground/validator: :100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving
:100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving - go-playground/validator
·github.com·
go-playground/validator: :100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving