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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.
A curated list of amazingly awesome PHP libraries, resources and shiny things.
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Roadmap to becoming an Artificial Intelligence Expert in 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A collection of tips to help take your CSS skills pro. 🕹
A simple guide to HTML <head> elements
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Course Files for Complete Python 3 Bootcamp Course on Udemy
A set of best practices for JavaScript projects
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Algorithms and data structures in Swift, with explanations!
Helping you select a JavaScript framework - Todo apps for React.js, Angular, Vue and many more
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Translated🔥🔥Over 1,000 classic computer science books, personal notes, and the resources mentioned in articles I have published on various platforms, etc. The book resources include C/C++, Java, Python, Go, data structures and algorithms, operating systems, backend architecture, computer systems knowledge, databases, computer networks, design patterns, frontend, assembly, and all kinds of interview experience write-ups for campus recruitment and experienced-hire recruitment~
😱 Falsehoods Programmers Believe in
Translated:star2: Wiki of OI / ICPC for everyone. (An online walkthrough for a certain large game, containing cool arithmetic magic)