TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
Repository Index
47,133 repositories indexed
25–48 of 416 · Most stars
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TranslatedPersonal notes on Professor Andrew Ng's machine learning course
- coursera
- machine-learning
Deep Learning Book Chinese Translation
🤪 A list of funny and tricky JavaScript examples
- javascript
- specification
- handbook
- notes
500 AI Machine learning Deep learning Computer vision NLP Projects with code
- awesome
- machine-learning
- deep-learning
- machine-learning-projects
Awesome React Native components, news, tools, and learning material!
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
- cpp
- algorithm
- algorithms-implemented
- data-structures
TranslatedClose, paragraph-by-paragraph readings of classic and new deep learning papers
- deep-learning
- paper
- reading-list
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
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
PyTorch Tutorial for Deep Learning Researchers
- deep-learning
- pytorch-tutorial
- neural-networks
- pytorch
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
- rust-lang
- rust
- book
- chinese
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- applied-machine-learning
- production
- applied-data-science
- machine-learning
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.
- spring-boot
- spring-data-jpa
- mybatis
- thymeleaf
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
- artificial-intelligence
- cloud-ml
- computer-systems
- courseware
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.