47,133 repositories indexed
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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.
PyTorch Tutorial for Deep Learning Researchers
Roadmap to becoming an Artificial Intelligence Expert in 2022
TranslatedWhat? You dare trust AI to have your back? I bet you don't, so come learn the coolest, safest, and fastest language of the AI era. This book offers comprehensive and in-depth explanations, vivid and fitting examples, and Dove-chocolate-smooth content. This may be the most painstakingly written Rust tutorial in Chinese available today / Book
📚 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.
Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.
A playbook for systematically maximizing the performance of deep learning models.
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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.
A curated list of awesome Deep Learning tutorials, projects and communities.
TranslatedLearn step by step: Spring Boot, Spring Boot & Shiro, Spring Batch, Spring Cloud, Spring Cloud Alibaba, Spring Security & Spring Security OAuth2. Source code for the blog's Spring series: https://mrbird.cc
A complete daily plan for studying to become a machine learning engineer.
Learn Low Level Design (LLD) and prepare for interviews using free resources.
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
deep learning for image processing including classification and object-detection etc.
TranslatedLearn and understand Docker&Container technologies, with real DevOps practice!
The most cited deep learning papers
TranslatedPumpkin Book (南瓜书, Nangua Shu): Detailed explanations of the formulas in "Machine Learning" (the Watermelon Book, 西瓜书)
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
A curated list of awesome places to learn and/or practice algorithms.