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Zep | Examples, Integrations, & More
Machine Learning and Agentic AI Resources, Practice and Research
Machine Learning and Computer Vision Engineer - Technical Interview Questions
- computer-vision-interview-questions
- data-science-interview
- data-science-interview-questions
- data-science-interviews
A comprehensive Python cheat sheet with code examples, built-in functions, module references, and hands-on labs by LabEx.
- python
- hands-on
- labex
- labs
Dependency injection framework for Python
- python
- dependency-injection
- ioc
- ioc-container
Simple examples to introduce PyTorch
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Translated"Deep Learning from Scratch" (O'Reilly Japan, 2016)
The 3rd edition of course.fast.ai
- data-science
- fastai
- deep-learning
- pytorch
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Learn Python from DevOps Engineer point of you.
:bathtub: Clean Code concepts adapted for Python
Translated📚 Classic computer programming books, "big black books", programming e-books, e-books, programming books, including classic e-books on computer fundamentals, C/C++, Java, Python, interview questions, architecture design, algorithm series, and more.
TranslatedWeb crawler basics, intermediate web crawling, advanced web crawlers
Interactive Tutorials
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
Jupyter notebooks for the Natural Language Processing with Transformers book
TranslatedA compilation of commonly used computer science e-books with download links, including books on Java, Python, Linux, Go, C, C++, data structures and algorithms, artificial intelligence, computer fundamentals, interviews, design patterns, databases, front-end, and more
TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.
Curso para aprender desarrollo frontend Web con Python puro desde cero. Elaborado durante las emisiones en directo desde Twitch de MoureDev.
- frontend
- pynecone
- python
- python3
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
Translated【Must-read】The most comprehensive collection of PyTorch learning resources ever
- pytroch
- awesome
- deep-learning
- neural-network