Translated✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field (冰霜之地, "Land of Frost"): notes on source code analysis, system design, and engineering practice
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Translated✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field (冰霜之地, "Land of Frost"): notes on source code analysis, system design, and engineering practice
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
✂A collection of useful .htaccess snippets.
TranslatedMachine learning tutorials
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
The "Python Machine Learning (1st edition)" book code repository and info resource
Solve puzzles. Learn CUDA.
Achieve a tiny STL in C++11
Translatedcvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 collection of papers/code/interpretations/live streams, compiled by the 极市 (Jishi, "Extreme Mart") team
A collection of resources and papers on Diffusion Models
A bunch of links to blog posts, articles, videos, etc for learning Rust
Hello world in every computer language. Thanks to everyone who contributes to this, make sure to see contributing.md for contribution instructions!
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
TranslatedLeetCode solutions, complete edition with 151 problems.
Minimal and clean examples of machine learning algorithms implementations
TranslatedApacheCN collection of translated texts on data structures and algorithms
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Open Machine Learning Course
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Tutorials, assignments, and competitions for MIT Deep Learning related courses.