Hung Pham's repositories

CLRS

📚 Solutions to Introduction to Algorithms Third Edition

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bash-guide

A guide to learn bash

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DeFi-Developer-Road-Map

DeFi Developer roadmap is a curated Web3.0 Developer handbook which includes a list of the best tools for DApps, development resources and lifehacks.

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awesome-go

A curated list of awesome Go frameworks, libraries and software

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awesome-cto

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

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go-patterns

Curated list of Go design patterns, recipes and idioms

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awesome-selfhosted

A list of Free Software network services and web applications which can be hosted on your own servers

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awesome-grpc

A curated list of useful resources for gRPC

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awesome-hacker-search-engines

A list of search engines useful during Penetration testing, vulnerability assessments, red team operations, bug bounty and more

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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awesome-kubernetes

A curated list for awesome kubernetes sources :ship::tada:

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awesome-docker

:whale: A curated list of Docker resources and projects

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mindsdb

In-Database Machine Learning

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solution-architecture-patterns

Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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clean-code-javascript

:bathtub: Clean Code concepts adapted for JavaScript

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project-guidelines

A set of best practices for JavaScript projects

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openstack

Repository tracking all OpenStack repositories as submodules. Mirror of code maintained at opendev.org.

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awesome

😎 Awesome lists about all kinds of interesting topics

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h1st

H1st AI solves the critical “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This problem has caused most industrial-AI projects to fail.

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d2l-vn

Bản dịch cuốn sách "Dive into Deep Learning"

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first-contributions

🚀✨ Help beginners to contribute to open source projects

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public-apis

A collective list of free APIs

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ml-yearning-vn

Một cuốn sách tập trung vào hướng dẫn cách cấu trúc các dự án học máy và phân tích cách làm cho các thuật toán học máy hoạt động.

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